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

RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs EMNLP 2024
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging EMNLP 2024
Calibrating Language Models with Adaptive Temperature Scaling EMNLP 2024
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024
Semi-Supervised Reward Modeling via Iterative Self-Training EMNLP 2024
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness EMNLP 2024
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models EMNLP 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback EMNLP 2024
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024
WPO: Enhancing RLHF with Weighted Preference Optimization EMNLP 2024
The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models EMNLP 2024
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation EMNLP 2024
ALaRM: Align Language Models via Hierarchical Rewards Modeling ACL 2024
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling ACL 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024
Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models EMNLP 2024
Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents EMNLP 2024
Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem COLING 2024
Automated Multi-level Preference for MLLMs NIPS 2024
Learning Goal-Conditioned Representations for Language Reward Models NIPS 2024
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling NIPS 2024
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model CVPR 2024