conftrace_

reward model

401 papers

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Also known as

RM

Co-occurring keywords · papers mentioning both

large language model (104) reinforcement learning (91) reinforcement learning from human feedback (85) preference learning (38) language model (34) direct preference optimization (33) language model alignment (29) human feedback (29) human preference (28) reward modeling (26)

Papers

Applying RLAIF for Code Generation with API-usage in Lightweight LLMs ACL 2024 A Reinforcement Learning Approach to Improve Low-Resource Machine Translation Leveraging Domain Monolingual Data COLING 2024 BATON: Aligning Text-to-Audio Model Using Human Preference Feedback IJCAI 2024 Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SemEval 2024 Boosting Text-to-Video Generative Model with MLLMs Feedback NeurIPS 2024 Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models NeurIPS 2024 CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation ACL 2024 CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment COLING 2024 Combining Multiple Metrics for Evaluating Retrieval-Augmented Conversations NAACL 2024 Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal IJCAI 2024 Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning ACL 2024 Detecting and Preventing Hallucinations in Large Vision Language Models AAAI 2024 Disentangling Length from Quality in Direct Preference Optimization ACL 2024 DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging EMNLP 2024 Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision NeurIPS 2024 Efficient Exploration for LLMs ICML 2024 Enabling Lanuguage Models to Implicitly Learn Self-Improvement ICLR 2024 EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024 EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving CoRL 2024 ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024 Exploring Domain Robust Lightweight Reward Models based on Router Mechanism ACL 2024 Fast Best-of-N Decoding via Speculative Rejection NeurIPS 2024 Filtered Direct Preference Optimization EMNLP 2024 Fine-Tuning Language Models with Reward Learning on Policy NAACL 2024 Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation EMNLP 2024