Large Language Models

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery CVPR 2025 DIS-CO: Discovering Copyrighted Content in VLMs Training Data ICML 2025 Discovering Spoofing Attempts on Language Model Watermarks ICML 2025 Discovering Symbolic Cognitive Models from Human and Animal Behavior ICML 2025 Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data ICML 2025 Discriminative Policy Optimization for Token-Level Reward Models ICML 2025 Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning ACL 2025 Disentangling Language and Culture for Evaluating Multilingual Large Language Models ACL 2025 Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment COLING 2025 DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications EMNLP 2025 Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction CVPR 2025 Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study EMNLP 2025 Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs ACL 2025 Distillation Scaling Laws ICML 2025 Distilling On-device Language Models for Robot Planning with Minimal Human Intervention CoRL 2025 Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning ICLR 2025 DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs ICML 2025 DisTime: Distribution-based Time Representation for Video Large Language Models ICCV 2025 Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment NAACL 2025 Distraction is All You Need for Multimodal Large Language Model Jailbreaking CVPR 2025 DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints AAAI 2025 Diverging Preferences: When do Annotators Disagree and do Models Know? ICML 2025 Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models EMNLP 2025 Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts ACL 2025 Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding ACL 2025