SALMON: Self-Alignment with Instructable Reward Models
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Zhiqing, Shen, Yikang, Zhang, Hongxin, Zhou, Qinhong, Chen, Zhenfang, Cox, David, Yang, Yiming, Gan, Chuang |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble
by: Zhang, Shun, et al.
Published: (2024)
by: Zhang, Shun, et al.
Published: (2024)
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
by: Sun, Zhiqing, et al.
Published: (2024)
by: Sun, Zhiqing, et al.
Published: (2024)
Self-Play Preference Optimization for Language Model Alignment
by: Wu, Yue, et al.
Published: (2024)
by: Wu, Yue, et al.
Published: (2024)
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
by: Chen, Zhenfang, et al.
Published: (2025)
by: Chen, Zhenfang, et al.
Published: (2025)
Revealing the Inherent Instructability of Pre-Trained Language Models
by: An, Seokhyun, et al.
Published: (2024)
by: An, Seokhyun, et al.
Published: (2024)
Building Cooperative Embodied Agents Modularly with Large Language Models
by: Zhang, Hongxin, et al.
Published: (2023)
by: Zhang, Hongxin, et al.
Published: (2023)
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
by: Shen, Maohao, et al.
Published: (2025)
by: Shen, Maohao, et al.
Published: (2025)
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
by: Zhou, Qinhong, et al.
Published: (2024)
by: Zhou, Qinhong, et al.
Published: (2024)
STAR: A Benchmark for Situated Reasoning in Real-World Videos
by: Wu, Bo, et al.
Published: (2024)
by: Wu, Bo, et al.
Published: (2024)
Reviving The Classics: Active Reward Modeling in Large Language Model Alignment
by: Shen, Yunyi, et al.
Published: (2025)
by: Shen, Yunyi, et al.
Published: (2025)
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation
by: Lin, Qinhong, et al.
Published: (2024)
by: Lin, Qinhong, et al.
Published: (2024)
Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment
by: Zhang, Hongbin, et al.
Published: (2025)
by: Zhang, Hongbin, et al.
Published: (2025)
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
by: Wu, Tianhao, et al.
Published: (2024)
by: Wu, Tianhao, et al.
Published: (2024)
Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs
by: Sun, Hao, et al.
Published: (2025)
by: Sun, Hao, et al.
Published: (2025)
GRAM: A Generative Foundation Reward Model for Reward Generalization
by: Wang, Chenglong, et al.
Published: (2025)
by: Wang, Chenglong, et al.
Published: (2025)
Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment
by: Yang, Wen, et al.
Published: (2025)
by: Yang, Wen, et al.
Published: (2025)
Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment
by: Liu, Yan, et al.
Published: (2024)
by: Liu, Yan, et al.
Published: (2024)
Self-Rewarding Language Models
by: Yuan, Weizhe, et al.
Published: (2024)
by: Yuan, Weizhe, et al.
Published: (2024)
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
by: Chuang, Yung-Sung, et al.
Published: (2025)
by: Chuang, Yung-Sung, et al.
Published: (2025)
Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model
by: Yin, Yueqin, et al.
Published: (2025)
by: Yin, Yueqin, et al.
Published: (2025)
Cross-lingual Transfer of Reward Models in Multilingual Alignment
by: Hong, Jiwoo, et al.
Published: (2024)
by: Hong, Jiwoo, et al.
Published: (2024)
The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
by: Chen, Yanjun, et al.
Published: (2024)
by: Chen, Yanjun, et al.
Published: (2024)
Reward-free Alignment for Conflicting Objectives
by: Chen, Peter, et al.
Published: (2026)
by: Chen, Peter, et al.
Published: (2026)
On the Robustness of Reward Models for Language Model Alignment
by: Hong, Jiwoo, et al.
Published: (2025)
by: Hong, Jiwoo, et al.
Published: (2025)
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
Language Imbalance Driven Rewarding for Multilingual Self-improving
by: Yang, Wen, et al.
Published: (2024)
by: Yang, Wen, et al.
Published: (2024)
ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models
by: Chen, Hao, et al.
Published: (2025)
by: Chen, Hao, et al.
Published: (2025)
Steering LLM Thinking with Budget Guidance
by: Li, Junyan, et al.
Published: (2025)
by: Li, Junyan, et al.
Published: (2025)
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
by: Yang, Rui, et al.
Published: (2024)
by: Yang, Rui, et al.
Published: (2024)
Process-based Self-Rewarding Language Models
by: Zhang, Shimao, et al.
Published: (2025)
by: Zhang, Shimao, et al.
Published: (2025)
One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
by: Cai, Hongru, et al.
Published: (2026)
by: Cai, Hongru, et al.
Published: (2026)
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
by: Liu, Chris Yuhao, et al.
Published: (2024)
by: Liu, Chris Yuhao, et al.
Published: (2024)
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge
by: Wang, Andong, et al.
Published: (2024)
by: Wang, Andong, et al.
Published: (2024)
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
by: Zhong, Jialun, et al.
Published: (2025)
by: Zhong, Jialun, et al.
Published: (2025)
JetMoE: Reaching Llama2 Performance with 0.1M Dollars
by: Shen, Yikang, et al.
Published: (2024)
by: Shen, Yikang, et al.
Published: (2024)
Self-Evolved Reward Learning for LLMs
by: Huang, Chenghua, et al.
Published: (2024)
by: Huang, Chenghua, et al.
Published: (2024)
RetroMotion: Retrocausal Motion Forecasting Models are Instructable
by: Wagner, Royden, et al.
Published: (2025)
by: Wagner, Royden, et al.
Published: (2025)
Human-Instruction-Free LLM Self-Alignment with Limited Samples
by: Guo, Hongyi, et al.
Published: (2024)
by: Guo, Hongyi, et al.
Published: (2024)
Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
by: Shen, Yiran, et al.
Published: (2025)
by: Shen, Yiran, et al.
Published: (2025)
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment
by: Zhang, Xiaotian, et al.
Published: (2025)
by: Zhang, Xiaotian, et al.
Published: (2025)
Similar Items
-
Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble
by: Zhang, Shun, et al.
Published: (2024) -
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
by: Sun, Zhiqing, et al.
Published: (2024) -
Self-Play Preference Optimization for Language Model Alignment
by: Wu, Yue, et al.
Published: (2024) -
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
by: Chen, Zhenfang, et al.
Published: (2025) -
Revealing the Inherent Instructability of Pre-Trained Language Models
by: An, Seokhyun, et al.
Published: (2024)