conftrace_

reinforcement learning from human feedback

278 papers

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Co-occurring keywords

large language model (13587) reward model (276) reinforcement learning (4352) direct preference optimization (332) language model alignment (142) reward modeling (164) human feedback (161) preference learning (418) model alignment (226) language model (4599)

Papers

Fine-Tuning Language Models with Reward Learning on Policy NAACL 2024
Safer-Instruct: Aligning Language Models with Automated Preference Data NAACL 2024
RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models NAACL 2024
Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding NAACL 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NIPS 2024
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024
Interpreting Learned Feedback Patterns in Large Language Models NIPS 2024
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards ACL 2024
MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization ACL 2024
Aligning Large Language Models with Human Preferences through Representation Engineering ACL 2024
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment ACL 2024
Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs ACL 2024
Prototypical Reward Network for Data-Efficient RLHF ACL 2024
Unintended Impacts of LLM Alignment on Global Representation ACL 2024
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts ACL 2024
LIRE: listwise reward enhancement for preference alignment ACL 2024
Evaluating Large Language Model Biases in Persona-Steered Generation ACL 2024
Aligning Large Multimodal Models with Factually Augmented RLHF ACL 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation NIPS 2024
Preference Alignment with Flow Matching NIPS 2024
Group Robust Preference Optimization in Reward-free RLHF NIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models NIPS 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024
Filtered Direct Preference Optimization EMNLP 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024