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Reinforcement Learning from Human Feedback

141 papers

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Papers

MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety EMNLP 2025 MR. Judge: Multimodal Reasoner as a Judge EMNLP 2025 Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation ACL 2025 Optimizing CLAP Reward with LLM Feedback for Semantically Aligned and Diverse Automated Audio Captioning Interspeech 2025 Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD EMNLP 2025 PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference ACL 2025 Pluralistic Alignment for Healthcare: A Role-Driven Framework EMNLP 2025 Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise EMNLP 2025 RadQA-DPO: A Radiology Question Answering System with Encoder-Decoder Models Enhanced by Direct Preference Optimization ACL 2025 Reinforcement Learning for Large Language Models via Group Preference Reward Shaping EMNLP 2025 RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters EMNLP 2025 SDPO: Segment-Level Direct Preference Optimization for Social Agents ACL 2025 SEAL: Systematic Error Analysis for Value ALignment AAAI 2025 Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025 Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling AAAI 2025 Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data? ACL 2025 Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction AAAI 2025 SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment ACL 2025 The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation ACL 2025 The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community ACL 2025 T-REG: Preference Optimization with Token-Level Reward Regularization ACL 2025 Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas ACL 2025 A Critical Evaluation of AI Feedback for Aligning Large Language Models NeurIPS 2024 Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers EMNLP 2024 Advancing Process Verification for Large Language Models via Tree-Based Preference Learning EMNLP 2024