| 2026 | Words As Weapons - Breaking AI and Agents; Then Securing Them. | Pavan Reddy |
| 2026 | ProtoPVAE - Improving Prototype Consistency and Stability with Regularized Latent Spaces. | Shiska Raut, Manfred Huber |
| 2026 | S3FC - Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data. | Matthew T. Radice, Joshua L. Phillips |
| 2026 | An Approach to Dimensionality Reduction based on Contrastive Learning - A Preliminary Analysis. | Luigi Portinale, Giacomo Bertolazzi |
| 2026 | An Exploratory Study of Agentic Retrieval Augmented Generation for Mental Health Oriented Language Models. | Khoa Pham, Jiacheng Li, Hassan S. Al Khatib, Shahram Rahimi, Noorbakhsh Amiri Golilarz, Andy Perkins |
| 2026 | The Robot Maze Test - An Evaluation of Situated Learning for Humans and Machine Agents. | Ian Perera, Brady DeCouto, Christopher J. Bates, Matthew Johnson, Charles B. Patterson, Alec Treacy, Zoeanne McCurdy |
| 2026 | Structural Differences Between Human and AI-Generated SQL Queries. | Janka Pecuchova, Lubomr Benko |
| 2026 | Graph-Based Modeling of Iceberg Dynamics from Synthetic Aperture Radar Imagery. | Olivia Patterson, Rebecca Williams |
| 2026 | Blockchain as a Tool for Ensuring Authenticity Combating Fake AI-Generated Content and Misinformation. | Kyle Pasion |
| 2026 | A Preliminary Empirical Study of Large Language Models for Grading Debugging Problems in Programming Education. | Qixiang Pang, Linrui Zhang, Belinda Copus, Shan Du |
| 2026 | When One Model Is Not Enough - Twin Training for Prioritized Decisions. | Gowri K. N., Sirisha Velampalli, Prithvi Raj Badri |
| 2026 | Multimodal Machine Learning for Student Retention Prediction in the College of Engineering - Integrating Temporal, Textual, and Tabular Features. | Kashaina Nucum |
| 2026 | Advancing Fairness and Explainability in AI for Autism Diagnosis. | Davis Nguyen, Sheikh Rabiul Islam |
| 2026 | Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities. | Elijah Needham, Denis A. Ulybyshev, Ayesha Dina |
| 2026 | Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT. | Daniel Ndayegamiye, Jesse Roberts, Benjamin Frey |
| 2026 | Addressing a Bias in Evaluating of Student Self-Explanations of Worked Programming Examples. | Arun Balajiee Lekshmi Narayanan, Xiang Lorraine Li, Peter Brusilovsky |
| 2026 | Clinical Narratives Matter - Feature-Level Fusion for Improving ICU Length-of-Stay Prediction. | Noshini Islam Naina, Abu Saleh Md Tayeen, Ingrid Russell, Andrew Jung, Akin Tatoglu |
| 2026 | Investigating Human-Aligned Large Language Model Uncertainty. | Kyle Moore, Jesse Roberts, Daryl Watson, Pamela J. Wisniewski |
| 2026 | Neuro-Symbolic Causal Chain Extraction from Industrial Maintenance Narratives with Hard Constraint Enforcement. | Viquar Younus Mohammed |
| 2026 | Spoken or Written? - Multi-Level Topic Modeling and Explainable AI Visualization for Stylometry. | Mina Rajaei Moghadam, Mosab Rezaei, David Koop, Maoyuan Sun, Reva Freedman |
| 2026 | Isolating LLM Lexical Bias - A Curation-Free Triangulated Metric for Preference-Stage Learning. | Xiaoyang Ming, Jose A. Hernandez, Thomas Stephan Juzek |
| 2026 | Do LLMs Outperform Fine-tuned Transformers in Emotion Classification? - A Case Study of Llama and RoBERTa on an Emotion Benchmark. | Timothy Meinert, Anna Koufakou |
| 2026 | The Role of Emotions - Investigating Communicative Roles in Models and Data for Emotion Recognition. | Timothy Meinert, Valerio Basile, Anna Koufakou |
| 2026 | Collaboration on Waltz Labels can Achieve Qualitative Stereo Vision. | Ben Mathew, Majed Alotaibi, Debasis Mitra, Marius Silaghi |
| 2026 | Steganography with Large Language Models - Key Sensitivity Analysis. | Alexander V. Mantzaris, Wissam Ghantous, Haley Stinebrickner, Samira Jahangiri, Stephen Webinga |