Large Language Models

P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs EMNLP 2025 PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models IJCNLP 2025 Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models EMNLP 2025 PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data ICML 2025 PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models ICML 2025 PokéChamp: an Expert-level Minimax Language Agent ICML 2025 PokerBench: Training Large Language Models to Become Professional Poker Players AAAI 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models ICML 2025 Policy Guided Tree Search for Enhanced LLM Reasoning ICML 2025 Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean ACL 2025 POLO: An LLM-Powered Project-Level Code Performance Optimization Framework IJCAI 2025 polybasic Speculative Decoding Through a Theoretical Perspective ICML 2025 PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech EMNLP 2025 Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation ICLR 2025 Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs EMNLP 2025 PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment ACL 2025 POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval ICML 2025 POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization ICML 2025 PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models EMNLP 2025 PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation AAAI 2025 Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation ICML 2025 Position: Beyond Assistance – Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care ICML 2025 POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation EMNLP 2025 Position: Contextual Integrity is Inadequately Applied to Language Models ICML 2025 Position: Don’t Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints ICML 2025