FLAIRS-39: THE 39TH INTERNATIONAL FLORIDA AI RESEARCH SOCIETY (FLAIRS) CONFERENCE

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Abeysiriwardana, Chamudi	Multimodal Chest Pathology Classification with Language and Image Transformers
Abujar, Sheikh	TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange
Adnan, Md Abdul Mazid	Evaluating Logical Structure in Computer Programs Using LLMs
Aguilera, Andrea	Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing
Agyapong, Godfred	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi
Ahmady Phoulady, Hady	Evaluating Mistral 7B Instruct Jailbreak Vulnerabilities
Akhshik, Masoud	A Relational Model for Fine-Grained Visual Classification
Akter Khushbu, Sharun	TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange
Al Khatib, Hassan	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
Alotaibi, Majed	Collaboration on Waltz Labels can Achieve Qualitative Stereo Vision
Alqurashi, Asmaa	Counting Constraints in POMDPs based on PID Controllers
Alssadi, Rwaida	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon Counting Constraints in POMDPs based on PID Controllers JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange
Alsulami, Ameerah	Approximate Decryption in Homomorphic Division and Privacy impact
Alvin, Chris	Computational Models of Player Strategy in Roguelike Games Fragment-Based AI for Antibiotic Discovery
Amato, Alessandro	When to Measure: A Multi-Agent Reinforcement Learning Approach for Efficient Tracking
Amiri Golilarz, Noorbakhsh	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
Amo, Obed	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Anh Tuan, Tran Dinh	A Deep Learning Framework for Automatic Multi-View Facial–Nasal Landmark Detection in Clinical Photographs
Areyur Shanthakumar, Vaidyanath	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Arya, Arti	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
Asamoah, Deborah	Machine Learning for Hypertension Prediction in U.S. University-Aged Students: Insights from NIH All of Us Data
Atkins, Nick	Comparing Explanations of Competing Clinical Classification Algorithms Automatic Translation from LIME to Clinically Meaningful Triage Explanations
Auerbach, Daniel	Evaluating Personalized Content Using Large Language Models
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Bardelli, Giulio	Codify: An Intelligent Socratic Tutoring System for Programming Education
Barnett, Clark	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Barták, Roman	The effect of decomposition rule modeling on the efficiency of hierarchical planners On Using Domain Control Knowledge in Planning: Position Paper Ghost Agents in SAT-based Models for Multi-Agent Pathfinding
Basile, Valerio	The Role of Emotions: Investigating Communicative Roles in Models and Data for Emotion Recognition
Bates, Christopher	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Bautista, Peter	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Beaubien, Jeffrey M.	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Beaubrun, Audison	Botox Detection and Face Analytics Using Deep Learning
Beaudoin, Frédéric	Explaining Why Instrumental Rationality is Insufficient for Ethical Behavior
Beierle, Christoph	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Benko, Ľubomír	Impact of AI-Generated Queries on SQL Code Complexity
Bertolazzi, Giacomo	An approach to Dimensionality Reduction based on Constrastive Learning: a Preliminary Analysis
Bess, Adam	Fragment-Based AI for Antibiotic Discovery
Bilgin, Onur	The Judge Effect in Two-Round Legal Debate on LegalBench
Bista, Bipana	Scalable GNN Training for Track Finding
Blank Born, Míriam	Integrating Large Language Models as Cognitive Agents into the GAMA Platform for Urban Mobility Simulation
Bolay, Francis	Using a chat interface for a data-driven course planning wizard
Boonthum-Denecke, Chutima	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches Forgetting by Design: Testing the Effectiveness of Machine Unlearning in Right to Be Forgotten Data Deletion
Borra, Lavanya Sathish Raviteja	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
Boyapalli, Sumana	Counting Constraints in POMDPs based on PID Controllers
Boyd, Jamie	Seeing the Spark Before the Flame: Wildfire Risk Detection via UNets
Brinkley, Detravious	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi
Brooks, James	SAGE 0.2: LLMs for DOM Informed Internet Guidance
Brusilovsky, Peter	Addressing a bias in Evaluating of Student Explanations of Worked Programming Examples
Bukhari, Syed Ahmad Chan	A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
Butoto, John	Dwell Time Estimation Using Periodic Image Captures and Deep Learning
Bélanger, Charles	Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
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Carr, Kayla	Evaluating Personalized Content Using Large Language Models
Cascaes Alves, Bruno	Integrating Large Language Models as Cognitive Agents into the GAMA Platform for Urban Mobility Simulation
Cassani, Laura	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Cerezci, Celine	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring
Challenger, Moharram	BDI Agent-Based Access Control Reasoning for Multimodal Retrieval-Augmented Generation
Chanprapan, Komson	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Chapagain, Jeevan	A Study on How Well LLMs Can Assist Novices with Code Comprehension Tasks
Chato, Lina	Machine Learning for Hypertension Prediction in U.S. University-Aged Students: Insights from NIH All of Us Data UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
Chaudhari, Rahul	Satellite Image Analysis Using Modified EfficientNet
Chaudhary, Yash	Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning
Chen, Ray	InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard
Chen, Xulin	Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty
Christoforou, Christoforos	Deep Contrastive Representations for Neural-Congruency Modeling in EEG Studies of Reading Disorders
Chrpa, Lukas	On Using Domain Control Knowledge in Planning: Position Paper
Chuprov, Sergei	Scope Aware Contractor Performance Prediction Using Machine Learning and Work Package Vector Similarity
Clary, John	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Contreras, Jackson	Counting Constraints in POMDPs based on PID Controllers
Cooper, Heather	Scalable Clinical Informatics Frameworks for AI-Enabled Assistive Systems in Mental Health Care
Coppedge, Michael	Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models
Copus, Belinda	Comparative Study of Different Learning Paradigms for Zero-Shot Sentiment Analysis of the Low-Resource African Language Oromo A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education
Core, Mark G.	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring
Couch, Alva	Fairness Implications of Data Minimization in Deep Collaborative Filtering
Coursaris, Constantinos	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
Crowell, Charlotte	ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
Cuthbert, Joseph	Learning Team Synergy from Team Composition with a Siamese Transformer
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Darken, Christian	Evaluating Synthetic Sentence Coherence Using a Large Language Model
Das, Rakesh	Can LLMs Classify Vehicular Basic Safety Messages Anomalies?
Dasgupta, Prithviraj	Improving Resilience Against Cyber-attacks via Reward-Shaped Reinforcement Learning in a Network Defense Game
DeCouto, Brady	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Demirhan, Hilmi	Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench
Deshpande, Anura	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring
Dhakal, Shreeshtee	A Comparative Study of Deep Learning Architectures for Multi-Label Electrocardiogram Classification
Dietzsch, Gabriel	Beyond Accuracy: Performance and Behavioral Evaluation of Multimodal AI for Suspicious Aerial Traffic Monitoring
Dina, Ayesha	Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities
Dip, Sajib Acharjee	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data OncoMark: A Two-Stage Gated Framework for Cancer Hallmark Detection from Biomedical Text
Dorley, Emmanuel	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi Winning Isn’t Reasoning: Evaluating Iterative Reasoning Updating in Language Models
Dorr, Bonnie	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi
Du, Shan	A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education
Duarte-Vasquez, Alden	Training Ethical Language Models via Reinforcement Learning from AI Feedback
Dupree, William	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Dutta, Ayan	Fast and Flexible Sampling-Based Local Replanning for Single-Query Paths in Unknown Environments
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Elahi, Mehdi	Fairness Implications of Data Minimization in Deep Collaborative Filtering
Ellison, Kaelyn	Evaluating Personalized Content Using Large Language Models
Elsayed, Nelly	Scalable Clinical Informatics Frameworks for AI-Enabled Assistive Systems in Mental Health Care
Eren, Mustafa	Fine-Grained Sentence-Level Propaganda Detection in News Articles
Eskridge, Thomas	From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
Estaq, Zayan	Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
Evans, Deidre	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
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Fonseca, Pedro	Scope Aware Contractor Performance Prediction Using Machine Learning and Work Package Vector Similarity
Freedman, Reva	A Visualization of Explainable Stylometry of Presidential Speech and Writing
Frey, Benjamin	Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT
Fries, David	A Multi Attribute Extension of MDFT
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Galanti, Terrie	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models
Galliera, Raffaele	When to Measure: A Multi-Agent Reinforcement Learning Approach for Efficient Tracking
Gan, Zhenyu	Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty
Ganberg, Gabriel	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Ganupa, Sneha	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing Semantic Conversational AI for Construction Cost Analytics
Georgatos, Konstantinos	Dynamic Conditional Logic: A Complete Axiomatization of Update, Retraction, and Minimal Change
Gera, Parush	MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
Ghantous, Wissam	Semantic Length Limits in LLM Based Steganography Steganography with Large Language Models: Key Sensitivity Analysis
Gharaibeh, Ayman	LLM Pruning with Elastic Net Enhanced Wanda Strategy
Ghosh, Samit	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Gilda, Shlok	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi
Gillespie, Aidan	Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task
Gilvari, Atefeh	A Relational Model for Fine-Grained Visual Classification
Glisson, William B.	LLM Pruning with Elastic Net Enhanced Wanda Strategy
Gmeiner, Garrett	Counting Constraints in POMDPs based on PID Controllers
Golugula, Shiva	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
Gomez, Ramon	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Gonzalez, David	ASP∀: An Open Educational Resource for Answer Set Programming.
Gowri, Kn	When One Model Is Not Enough: Twin Training for Prioritized Decisions
Grant, Christan	InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard
Guerin, Joshua T.	ASP∀: An Open Educational Resource for Answer Set Programming.
Gunay, Cengiz	Using a chat interface for a data-driven course planning wizard Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
Guy, Jericka	Forgetting by Design: Testing the Effectiveness of Machine Unlearning in Right to Be Forgotten Data Deletion
Gyawali, Arjun	Can LLMs Classify Vehicular Basic Safety Messages Anomalies?
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Haldimann, Jonas Philipp	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Hardy Joseph, Gabriel	Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
Haroon, Danial	ShZZaM: An LLM+ATP Natural Language to Logic Translator
Hasan, Rashida	HARD-Xception: A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images
Hassan, Mohammed	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
Hatcher, Marlana	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
Hayder, Neeam	A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
He, Borui	Robotic Fall Prediction with Spatio-Temporal Processing of Egocentric Vision and Proprioception
Head, Anthony	Learning Team Synergy from Team Composition with a Siamese Transformer
Hendawi, Abdeltawab	Multimodal Chest Pathology Classification with Language and Image Transformers
Herbert, Katherine G.	Forecasting Geomagnetic Disturbances with Interpretable Deep Learning
Hernandez, Jose	Automated Identification of Lexical Misalignment in Preference-Stage Learning across Large Language Model Families
Heydari, Vahid	A Seven-Layer Lifecycle Framework for Fair, Robust, and Safe AI: Guidance and a German Credit Case Study
Hilal, Amr	Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task
Hooshmand, Sahar	Training Ethical Language Models via Reinforcement Learning from AI Feedback
Hossain, Md Sajjad	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Hough, Celia	Comparing Explanations of Competing Clinical Classification Algorithms
Howell, Anne	FuseGO: Evaluating Embedding Fusion Across Species with Unequal Encoder Capacity for Automated Protein Function Prediction
Huang, Yu	Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification
Huber, Manfred	ProtoPVAE: Improving Prototype Consistency and Stability with Regularized Latent Spaces
Huelsman, Michael	Learning General CP-nets Using Simulated Annealing
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Ihara, Diego	Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing
Ilyasov, Allan	Codify: An Intelligent Socratic Tutoring System for Programming Education
Im, Tacksoo	Improving LLM Thematic Analysis through Metric-Driven Self-Correction
Islam, Mirajul	Counting Constraints in POMDPs based on PID Controllers
Islam, Sheikh Rabiul	Advancing Fairness and Explainability in AI for Autism Diagnosis
Ismail, Muhammad	Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models
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Jahangiri, Samira	Steganography with Large Language Models: Key Sensitivity Analysis
Jahangiri, Samira	Directional Relations in Complex Word Embeddings
Jain, Shravan R	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
Jamshidi, Sina	Evaluating Mistral 7B Instruct Jailbreak Vulnerabilities
Jayaweera, Chathuri	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi
Johnson, David	The Judge Effect in Two-Round Legal Debate on LegalBench
Johnson, Matthew	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Jung, Andrew	Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction
Juzek, Thomas Stephan	Automated Identification of Lexical Misalignment in Preference-Stage Learning across Large Language Model Families
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Kahanda, Indika	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models FuseGO: Evaluating Embedding Fusion Across Species with Unequal Encoder Capacity for Automated Protein Function Prediction
Kalasapudi, Vamsi Sai	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing Semantic Conversational AI for Construction Cost Analytics
Kamal, Moumita	Comparing Explanations of Competing Clinical Classification Algorithms Automatic Translation from LIME to Clinically Meaningful Triage Explanations
Kanewala, Upulee	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models
Kanos, Nicholas	A Comparative Study of Deep Learning Architectures for Multi-Label Electrocardiogram Classification
Kao, Hsien-Te	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Karerwa, Uriel	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning
Karran, Alexander	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
Kashyap, Kristipati Thoyajaksha	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
Katz, Garrett E.	Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty Robotic Fall Prediction with Spatio-Temporal Processing of Egocentric Vision and Proprioception
Keith, Jason	ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
Kekulandara, Madhukara	Multimodal Chest Pathology Classification with Language and Image Transformers
Keshtkar, Fazel	Codify: An Intelligent Socratic Tutoring System for Programming Education A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
Kimmeth, Thomas	Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool
King, Michael	Botox Detection and Face Analytics Using Deep Learning
Kobti, Ziad	A Relational Model for Fine-Grained Visual Classification
Kolsch, Matthias	Evaluating Synthetic Sentence Coherence Using a Large Language Model
Konwar, Nikiraj	Counting Constraints in POMDPs based on PID Controllers
Koop, David	A Visualization of Explainable Stylometry of Presidential Speech and Writing
Kotagiri, Ashritha	Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning
Koufakou, Anna	Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? A Case Study of Llama and RoBERTa on an Emotion Benchmark The Role of Emotions: Investigating Communicative Roles in Models and Data for Emotion Recognition
Kricheli, Joshua Shay	Evaluating Personalized Content Using Large Language Models Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring
Krishnan, Narayan	Automated IoT Threat Monitoring & Mitigation using Tiny LLMs An Iterative Self Correcting Agentic RAG System
Kumar, Prajwal Arun	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
Kumarawadu, Priyantha	Automated IoT Threat Monitoring & Mitigation using Tiny LLMs An Iterative Self Correcting Agentic RAG System
Kuskova, Valentina	Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models From Tokens to Ties: Network and Discourse Analysis of Web3 Ecosystems
Kyrarini, Maria	Scalable Clinical Informatics Frameworks for AI-Enabled Assistive Systems in Mental Health Care
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Laboy-Jusino, Javier	Counting Constraints in POMDPs based on PID Controllers
Laghmari, Hajar	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning
Lane, W. Brian	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models
Lange-Hegermann, Markus	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Lanier, Michael	A Scalable Approach to Solving Simulation-Based Network Security Games
Larson, Stefan	Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification
Laurie, Cody	Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images
Lazar, Alina	Scalable GNN Training for Track Finding A Comparative Study of Deep Learning Architectures for Multi-Label Electrocardiogram Classification
Le, Steve	Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
Leach, Kevin	Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification
Lee, Travis	Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models
Leger, Pierre-Majorique	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
Lekshmi Narayanan, Arun Balajiee	Addressing a bias in Evaluating of Student Explanations of Worked Programming Examples
Leon, Maikel	Emerging AI Trends: A 2025-2026 Synthesis Domain-Specificity of Refusal Representations in Large Language Models
Li, Daniel	Interactive Solution Viewers for Automated Theorem Proving
Li, Jiacheng	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
Li, Lin	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Li, Sipei	Fairness Implications of Data Minimization in Deep Collaborative Filtering
Li, Xiang Lorraine	Addressing a bias in Evaluating of Student Explanations of Worked Programming Examples
Licato, John	The Judge Effect in Two-Round Legal Debate on LegalBench
Lim, Yi Yang Gordon	Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification
Liu, Ruipeng	Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty
Liu, Tsing	Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant
Liu, Xiangchen	Bridging Expectation Signals: LLM-Based Experiments and a Behavioral Kalman Filter Framework
Liu, Xiyuan	LLM Pruning with Elastic Net Enhanced Wanda Strategy
Luedeke, Ella	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models
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Ma, Ruize	Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench
Madsen, Jackson	ASP∀: An Open Educational Resource for Answer Set Programming.
Mahesh Kashyap, Omkar	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition
Maier, Cristina	A Fairness-Aware Semi-Supervised Clustering Method
Makhdoomi Kaviri, Sina	A Unified Atlas-Aware Framework for Interpretable Spatio–Temporal EEG Source Imaging
Mallesha, Raghavendra	Counting Constraints in POMDPs based on PID Controllers
Manani, Hiren	An Iterative Self Correcting Agentic RAG System
Mantzaris, Alexander V.	Semantic Length Limits in LLM Based Steganography Directional Relations in Complex Word Embeddings Feasibility of Tiny Recursion Models for the Traveling Salesman Problem: Learned Insertion and 2-opt Refinement Steganography with Large Language Models: Key Sensitivity Analysis
Mathew, Ben	Collaboration on Waltz Labels can Achieve Qualitative Stereo Vision
Mayo, Elliot	Learning Team Synergy from Team Composition with a Siamese Transformer
McCloud, Patrick	SAGE 0.2: LLMs for DOM Informed Internet Guidance
McCurdy, Zoeanne	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
McKeown, Jack	Interactive Solution Viewers for Automated Theorem Proving
Md Tayeen, Abu Saleh	Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction
Meczkowska, Alyssa	A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
Mehra, Shalini	Fast and Flexible Sampling-Based Local Replanning for Single-Query Paths in Unknown Environments
Mehra, Vipul	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Meinert, Tim	Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? A Case Study of Llama and RoBERTa on an Emotion Benchmark The Role of Emotions: Investigating Communicative Roles in Models and Data for Emotion Recognition
Meyer, Joel	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Mia, Maraz	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
Ming, Xiaoyang	Automated Identification of Lexical Misalignment in Preference-Stage Learning across Large Language Model Families
Minh Trieu, Nguyen	A Deep Learning Framework for Automatic Multi-View Facial–Nasal Landmark Detection in Clinical Photographs Skull-Conditioned Facial Soft-Tissue Reconstruction Using Anatomy-First Deep Volumetric Inference
Mishra, Siba	Operationalization-Aware Modeling of Software Non-Functional Requirement Relationships: A Context-Aware Approach
Mitra, Debasis	Collaboration on Waltz Labels can Achieve Qualitative Stereo Vision
Mkpong-Ruffin, Idongesit	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
Mohammed, Ahmed Sarwar	AI-Driven Cyber Defense: Advanced Multimodal Learning for Evolving Malware Threats
Mohammed, Viquar Younus	Automatic Root-Cause Chain Extraction from Technician Maintenance Notes Using NLP and LLM Reasoning
Moni, Shafika Showkat	Evaluating Mistral 7B Instruct Jailbreak Vulnerabilities
Moore, Kyle	Investigating Human-Aligned Large Language Model Uncertainty
Morales, Esteban	Interactive Solution Viewers for Automated Theorem Proving
Motamarri, Sai Sathvik	Tiny KANs: A Performance Benchmark of Kolmogorov-Arnold Networks on Microcontrollers
Moturu, Bhuvi	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
Mukherjee, Suvaditya	Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring
Mukherjee, Tathagata	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Mukhopadhyay, Supratik	Fragment-Based AI for Antibiotic Discovery
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Naina, Noshini Islam	Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction
Narayan, Surabhi	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition
Ndayegamiye, Daniel	Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT
Neal, Tempestt	MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
Needham, Elijah	Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities
Neupane, Subash	ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
Newlin, Kaley	ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
Nguyen, Davis	Advancing Fairness and Explainability in AI for Autism Diagnosis
Nucum, Kashaina	Multimodal Machine Learning for Student Retention Prediction: Integrating Temporal, Textual, and Tabular Features
Nyarko, Kofi	A Seven-Layer Lifecycle Framework for Fair, Robust, and Safe AI: Guidance and a German Credit Case Study
Nye, Benjamin	Evaluating Personalized Content Using Large Language Models Have (A)I Seen this Before? Exploring LLM Metacognition Using Self-Reported Rankings and Scoring
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Ondrčková, Simona	The effect of decomposition rule modeling on the efficiency of hierarchical planners
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Padegal, Amit	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition
Pang, Qixiang	Comparative Study of Different Learning Paradigms for Zero-Shot Sentiment Analysis of the Low-Resource African Language Oromo A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education
Pangelinan, Gabriella	Botox Detection and Face Analytics Using Deep Learning
Pantůčková, Kristýna	The effect of decomposition rule modeling on the efficiency of hierarchical planners
Parekh, Neel	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi
Park, Hyesung	Improving LLM Thematic Analysis through Metric-Driven Self-Correction
Pasion, Kyle	Blockchain as a Tool for Ensuring Authenticity: Combating Fake AI-Generated Content and Misinformation
Pathak, Sajina	Counting Constraints in POMDPs based on PID Controllers
Patterson, Charles	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Patterson, Nolan	Comparing Explanations of Competing Clinical Classification Algorithms Automatic Translation from LIME to Clinically Meaningful Triage Explanations
Patterson, Olivia	Graph-Based Modeling of Iceberg Dynamics from Synthetic Aperture Radar Imagery
Paul, Bikash Kumar	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
Paul, Sudhir	A Relational Model for Fine-Grained Visual Classification
Pease, Adam	Evaluating Synthetic Sentence Coherence Using a Large Language Model
Pecuchová, Janka	Impact of AI-Generated Queries on SQL Code Complexity
Perera, Ian	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Perkins, Andy	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
Perkins, Judy A.	Domain-Adapted NLP for Multi-Label Crash Narrative Classification under Extreme Class Imbalance
Peterson, Clayton	Explaining Why Instrumental Rationality is Insufficient for Ethical Behavior
Pham, Khoa	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
Phelps, Drew	Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task
Phillips, Joshua	S3FC: Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data
Phillips, Katherine	Automatic Translation from LIME to Clinically Meaningful Triage Explanations
Plant, Robert	Emerging AI Trends: A 2025-2026 Synthesis
Pochiraju, Prem	Counting Constraints in POMDPs based on PID Controllers
Pokojovy, Michael	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Portinale, Luigi	An approach to Dimensionality Reduction based on Constrastive Learning: a Preliminary Analysis
Priti Sagar,	LLM-Augmented Clustering for Customer Support Ticket Triage
Pritom, Mir Mehedi	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
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Quinn, Patrick	Counting Constraints in POMDPs based on PID Controllers
R
Radice, Matthew	S3FC: Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data
Rahimi, Shahram	An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models
Rahimi, Shahram	ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
Raita, Bogdan	Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
Rajaei Moghadam, Mina	A Visualization of Explainable Stylometry of Presidential Speech and Writing
Ramirez, Irene	Fast and Flexible Sampling-Based Local Replanning for Single-Query Paths in Unknown Environments
Rathi, Chetanya	Automated IoT Threat Monitoring & Mitigation using Tiny LLMs An Iterative Self Correcting Agentic RAG System
Rathore, Heena	Can LLMs Classify Vehicular Basic Safety Messages Anomalies? Training Ethical Language Models via Reinforcement Learning from AI Feedback
Raut, Shiska	ProtoPVAE: Improving Prototype Consistency and Stability with Regularized Latent Spaces
Rayasam, Namitha	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition
Rayz, Julia	Probing Knowledge Graph Reliability and Semantic Coherence with Language Models Do Programmers and AI See the Same Problem? Quantifying Cognitive Misalignment in Code Generation
Reddivari, Sandeep	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications Semantic Conversational AI for Construction Cost Analytics
Rezaei, Mosab	A Visualization of Explainable Stylometry of Presidential Speech and Writing
Rhee, Yeriel	Improving RAG/CAG Based Additional Context Retrieval from Datasets implementations via Pokemon-themed AI Chatbot
Ribas, Bruno	A Pseudo-Boolean Formulation for Graph Database Queries
Rivera, Angel	Document, Verify, Explain: A Transparent Accountability Framework for Equitable Generative AI Use in Computer Science Education
Roberts, Jesse	SAGE 0.2: LLMs for DOM Informed Internet Guidance Reward-Guided Fine-Tuning of Language Models with Social Feedback Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT Investigating Human-Aligned Large Language Model Uncertainty Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models
Rolon-Merette, Thadde	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
Roy, Avijit	Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool
Ruiz Olazar, Margarita	Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing
Ruiz Segura, Alejandra	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning
Rus, Vasile	Evaluating Logical Structure in Computer Programs Using LLMs A Study on How Well LLMs Can Assist Novices with Code Comprehension Tasks
Russell, Ingrid	Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction
S
Saadat, Cyrus	A Fairness-Aware Semi-Supervised Clustering Method
Sajib, Mahmudul Islam	Evaluating Logical Structure in Computer Programs Using LLMs A Study on How Well LLMs Can Assist Novices with Code Comprehension Tasks
Sajid, Shahariaj Moham	Dense Attention-Enhanced U-Net for Complex Image Segmentation Tasks
Salisbury, Joseph	AstroAid: Personalized Target Down-Selection for Amateur Astronomers
Samkari, Waseem	From Recommendation to Reflection: Measuring Moral Value Stability in Human–AI Collaboration Using Cognitive Value Recontextualization
Sanchotene de Aguiar, Marilton	Integrating Large Language Models as Cognitive Agents into the GAMA Platform for Urban Mobility Simulation
Sando, Thobias	Dwell Time Estimation Using Periodic Image Captures and Deep Learning
Sanjari, Seyed Mohammad	A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework
Scales, Cecilia	Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing
Scarlato, Augustus	Metadata Engineering: Harmonizing CT Descriptors in Enterprise Imaging Systems
Scott, Jared	Reward-Guided Fine-Tuning of Language Models with Social Feedback
Scroggins, Kevin	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi Winning Isn’t Reasoning: Evaluating Iterative Reasoning Updating in Language Models
Sedlik, Noah	Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant
Seelam, Alekhya	The Submittals Agent: A Hybrid Workflow for Automating Submittal Extraction from Construction Specifications A Comparative Evaluation of Document Extraction Tools for Construction Specification Parsing Semantic Conversational AI for Construction Cost Analytics
Sen, Vaishnavi	HARD-Xception: A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images
Serov, Vladimir	Sudoku Sage: Evaluating Correctness of LLM-Generated Moves as a Constraint Satisfaction Task
Shah, Unnati	Operationalization-Aware Modeling of Software Non-Functional Requirement Relationships: A Context-Aware Approach Document, Verify, Explain: A Transparent Accountability Framework for Equitable Generative AI Use in Computer Science Education
Shahadat, Nazmul	Dense Attention-Enhanced U-Net for Complex Image Segmentation Tasks Satellite Image Analysis Using Modified EfficientNet
Shakeel, Aneeza	Fine-Grained Sentence-Level Propaganda Detection in News Articles
Shankar, Ravi	Shop-The-Room: A Zero-Shot Foundation Model Framework for Visual Discovery in E-Commerce
Sharma, Vivek	Fine-Grained Sentence-Level Propaganda Detection in News Articles Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool
Shekhar, Nidhi	Quantifying Modality Contributions in Vision-Language Models via Partial Information Decomposition
Shiel, Aaron	Evaluating Personalized Content Using Large Language Models
Shiguemori, Elcio Hideiti	Beyond Accuracy: Performance and Behavioral Evaluation of Multimodal AI for Suspicious Aerial Traffic Monitoring
Silaghi, Marius	CultIcon-Bench: A Pilot Benchmark for Cultural Interpretation of Visual Icon Collaboration on Waltz Labels can Achieve Qualitative Stereo Vision Counting Constraints in POMDPs based on PID Controllers TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange Approximate Decryption in Homomorphic Division and Privacy impact
Simovici, Dan	A Fairness-Aware Semi-Supervised Clustering Method
Singampalli, Teja P. S.	Forecasting Geomagnetic Disturbances with Interpretable Deep Learning
Sirisha, Velampalli	When One Model Is Not Enough: Twin Training for Prioritized Decisions Explainable Hierarchical Graph Neural Networks for Structured Decision Modeling
Sjöqvist, Alfred	Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant
Sollazzo, Katrina	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning
Sonboli, Nasim	Fairness Implications of Data Minimization in Deep Collaborative Filtering
Sosa, Fernando	Monitoring therapeutic plans and risk signals from clinical narratives in mental health using natural language processing
Spang, Aron	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Speirs, J. Caleb	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models
Spiegel, Lars-Phillip	Implementing Nonmonotonic Reasoning From Weakly Consistent Conditional Belief Bases
Spiro, Natalie	RAMP: Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models
Stanly, Ros Maria E. F.	Fast and Flexible Sampling-Based Local Replanning for Single-Query Paths in Unknown Environments
Stinebrickner, Haley	Semantic Length Limits in LLM Based Steganography Steganography with Large Language Models: Key Sensitivity Analysis
Sun, Maoyuan	A Visualization of Explainable Stylometry of Presidential Speech and Writing
Sunder, Nikhil	Non-Stationary Spectral Decomposition Network for Econometric Time Series Forecasting
Suri, Niranjan	When to Measure: A Multi-Agent Reinforcement Learning Approach for Efficient Tracking
Sutcliffe, Geoffrey	ShZZaM: An LLM+ATP Natural Language to Logic Translator Interactive Solution Viewers for Automated Theorem Proving
Swartout, Bill	Evaluating Personalized Content Using Large Language Models
Syed, Muntaser	Counting Constraints in POMDPs based on PID Controllers Real-Time Neck Posture Classification Using a Lightweight Wearable IMU Pendant TOML: Transistor Operations for Machine Learning - A Physics-Grounded Energy Efficiency Framework JSON-LD 1.2 and Beyond: Extensions for Machine Learning Data Exchange
Sénécal, Sylvain	Effects of Personalization in Large Language Model Tutors on Cognitive Load during Mathematics Learning Towards a Cross-Participant Cognitive Load Classification Using Eye Tracking and Deep Learning
T
Tahat, Majd Z.	LLM Pruning with Elastic Net Enhanced Wanda Strategy
Talbert, Doug	Comparing Explanations of Competing Clinical Classification Algorithms Automatic Translation from LIME to Clinically Meaningful Triage Explanations
Talbert, Steve	Automatic Translation from LIME to Clinically Meaningful Triage Explanations
Tamang, Shanti	Evaluating Logical Structure in Computer Programs Using LLMs A Study on How Well LLMs Can Assist Novices with Code Comprehension Tasks
Tardif, Nicolas	Explaining Why Instrumental Rationality is Insufficient for Ethical Behavior
Tate, Connor	A Multi Attribute Extension of MDFT
Tatoglu, Akin	Clinical Narratives Matter: Feature-Level Fusion for Improving ICU Length-of-Stay Prediction
Tezel, Baris Tekin	BDI Agent-Based Access Control Reasoning for Multimodal Retrieval-Augmented Generation
Thapa, Bishal	Training Ethical Language Models via Reinforcement Learning from AI Feedback
Theodorou, Maria	Deep Contrastive Representations for Neural-Congruency Modeling in EEG Studies of Reading Disorders
Thien Bao, Nguyen	A Deep Learning Framework for Automatic Multi-View Facial–Nasal Landmark Detection in Clinical Photographs Skull-Conditioned Facial Soft-Tissue Reconstruction Using Anatomy-First Deep Volumetric Inference
Thomas, Terrelle	How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
Thompson, Richard	Evaluating Synthetic Sentence Coherence Using a Large Language Model
Thota, Ravi Teja	UCMUNET Liver: Unified Cross-Modality 3D U-Net to Enhance Liver Segmentation in Cirrhotic Patients
Tiparadi, Vinay	Automated IoT Threat Monitoring & Mitigation using Tiny LLMs An Iterative Self Correcting Agentic RAG System
Tiveron, Gabriel	A Pseudo-Boolean Formulation for Graph Database Queries
Torres, Jacqueline	Deep Contrastive Representations for Neural-Congruency Modeling in EEG Studies of Reading Disorders
Torres, Sebastian	Codify: An Intelligent Socratic Tutoring System for Programming Education
Toutsios, Angelos	Evaluating Synthetic Sentence Coherence Using a Large Language Model
Treacy, Alec	The Robot Maze Test: An Evaluation of Situated Learning for Humans and Machine Agents
Tripathi, Himanshu	ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
Truong Thinh, Nguyen	A Deep Learning Framework for Automatic Multi-View Facial–Nasal Landmark Detection in Clinical Photographs Skull-Conditioned Facial Soft-Tissue Reconstruction Using Anatomy-First Deep Volumetric Inference
Tuan Kiet, Nguyen	Skull-Conditioned Facial Soft-Tissue Reconstruction Using Anatomy-First Deep Volumetric Inference
Tucker, Charlie	Domain-Specificity of Refusal Representations in Large Language Models
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Ulok, Akkhar	A Relational Model for Fine-Grained Visual Classification
Ulybyshev, Denis	Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities
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Vagadiya, Dhruv	HARD-Xception: A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning
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Venable, K. Brent	When to Measure: A Multi-Agent Reinforcement Learning Approach for Efficient Tracking A Multi Attribute Extension of MDFT
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Volkova, Svitlana	Classifying Target Sentences for LLM-Generated Persuasion Attacks in Press Releases from Federal Research Agencies
Vorobeychik, Yevgeniy	A Scalable Approach to Solving Simulation-Based Network Security Games
W
Wang, Jason T. L.	Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning Forecasting Geomagnetic Disturbances with Interpretable Deep Learning
Wang, Tianqi	Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench
Wang, Yu	Bridging Expectation Signals: LLM-Based Experiments and a Behavioral Kalman Filter Framework
Watson, Daryl	Investigating Human-Aligned Large Language Model Uncertainty
Webinga, Stephen	Steganography with Large Language Models: Key Sensitivity Analysis
Williams, Rebecca	Graph-Based Modeling of Iceberg Dynamics from Synthetic Aperture Radar Imagery
Wisniewski, Pamela	Investigating Human-Aligned Large Language Model Uncertainty
Woo, Yoonhyuck	Probing Knowledge Graph Reliability and Semantic Coherence with Language Models
X
Xu, Chunhui	Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning Forecasting Geomagnetic Disturbances with Interpretable Deep Learning
Xudong, Liu	Multi-Label Heart Disease Classification Using Electrocardiograms and Machine Learning Dwell Time Estimation Using Periodic Image Captures and Deep Learning
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Yamoah, Kweku	An Elicitation-Matrix Approach to Pragmatic Context Modeling in Low-Resource Machine Translation: The Case of Akuapem Twi Winning Isn’t Reasoning: Evaluating Iterative Reasoning Updating in Language Models
Ye, Xiaomeng	Learning Team Synergy from Team Composition with a Siamese Transformer
Yesil, Halil	BDI Agent-Based Access Control Reasoning for Multimodal Retrieval-Augmented Generation
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Zadrozny, Wlodek	Reliability Beyond Accuracy: Error Analysis of Agentic Tool-Augmented Reasoning in LLMs on CURE-Bench
Zafor, Adrika	OncoMark: A Two-Stage Gated Framework for Cancer Hallmark Detection from Biomedical Text
Zafor, Adrika	Evidence-Grounded Verification of Oncology Clinical Notes Using Structured EHR Data
Zaytsev, Dmitry	Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models From Tokens to Ties: Network and Discourse Analysis of Web3 Ecosystems
Zhang, Linrui	Comparative Study of Different Learning Paradigms for Zero-Shot Sentiment Analysis of the Low-Resource African Language Oromo A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education
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Zhang, Yi	Do Programmers and AI See the Same Problem? Quantifying Cognitive Misalignment in Code Generation
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Švancara, Jiří	Ghost Agents in SAT-based Models for Multi-Agent Pathfinding

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