Artificial Intelligence

From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium ICML 2025 From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation AISTATS 2025 From Detection to Explanation: Effective Learning Strategies for LLMs in Online Abusive Language Research COLING 2025 From Disagreement to Understanding: The Case for Ambiguity Detection in NLI EMNLP 2025 From Distributional to Overton Pluralism: Investigating Large Language Model Alignment NAACL 2025 From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning ICCV 2025 From Elements to Design: A Layered Approach for Automatic Graphic Design Composition CVPR 2025 From End-Users to Co-Designers: Lessons from Teachers ACL 2025 From English to Second Language Mastery: Enhancing LLMs with Cross-Lingual Continued Instruction Tuning ACL 2025 From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs ACL 2025 From Evidence Mining to Meta-Prediction: a Gradient of Methodologies for Task-Specific Challenges in Psychological Assessment NAACL 2025 From Evidence to Belief: A Bayesian Epistemology Approach to Language Models NAACL 2025 From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions ICLR 2025 From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech CVPR 2025 From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls COLING 2025 From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs COLT 2025 From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes EMNLP 2025 From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation ICLR 2025 FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025 From Gambits to Assurances: Game-Theoretic Integration of Safety and Learning for Interactive Robotics AAAI 2025 From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models EMNLP 2025 From Generating Answers to Building Explanations: Integrating Multi-Round RAG and Causal Modeling for Scientific QA NAACL 2025 From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation EMNLP 2025 From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge EMNLP 2025 From Generic Empathy to Personalized Emotional Support: A Self-Evolution Framework for User Preference Alignment EMNLP 2025