| Machine individuality: Separating genuine idiosyncrasy from response bias in large language models | cs.AI | 0 | Open |
| Mitigating Prompt-Induced Cognitive Biases in General-Purpose AI for Software Engineering | cs.AI | 0 | Open |
| Frozen Vision Transformers for Dense Prediction on Small Datasets: A Case Study in Arrow Localization | cs.AI | 0 | Open |
| CapSeal: Capability-Sealed Secret Mediation for Secure Agent Execution | cs.AI | 0 | Open |
| Emergence Transformer: Dynamical Temporal Attention Matters | cs.AI | 0 | Open |
| The Reliance Negotiation Framework: A Dynamic Process Model of Student LLM Engagement in Academic Writing | cs.AI | 0 | Open |
| StageMem: Lifecycle-Managed Memory for Language Models | cs.AI | 0 | Open |
| Representation Before Training: A Fixed-Budget Benchmark for Generative Medical Event Models | cs.AI | 0 | Open |
| SAVE: A Generalizable Framework for Multi-Condition Single-Cell Generation with Gene Block Attention | cs.AI | 0 | Open |
| Federation over Text: Insight Sharing for Multi-Agent Reasoning | cs.AI | 0 | Open |
| FairNVT: Improving Fairness via Noise Injection in Vision Transformers | cs.AI | 0 | Open |
| Bridging Coarse and Fine Recognition: A Hybrid Approach for Open-Ended Multi-Granularity Object Recognition in Interactive Educational Games | cs.AI | 0 | Open |
| When Informal Text Breaks NLI: Tokenization Failure, Distribution Shift, and Targeted Mitigations | cs.AI | 0 | Open |
| Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering | cs.AI | 0 | Open |
| AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems | cs.AI | 0 | Open |