HelpSteer2: Open-source dataset for training top-performing reward models

12 June 2024

Zhilin Wang

Yi Dong

Jimmy J. Zhang

Makesh Narsimhan Sreedhar

Oleksii Kuchaiev

AI4TS

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Papers citing "HelpSteer2: Open-source dataset for training top-performing reward models"

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Title
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages Zihan Wang Jiaqi Zeng Olivier Delalleau Hoo-Chang Shin Felipe Soares Alexander Bukharin Ellie Evans Yi Dong Oleksii Kuchaiev 24 0 0 16 May 2025
Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning Xiaokun Wang Chris Jiangbo Pei Wei Shen Yi Peng ... Ai Jian Tianyidan Xie Xuchen Song Yang Liu Yahui Zhou OffRL LRM 28 0 0 12 May 2025
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Yi-Fan Zhang Xingyu Lu X. Hu Chaoyou Fu Bin Wen ... Jianfei Chen Fan Yang Z. Zhang Tingting Gao Liang Wang OffRL LRM 48 0 0 05 May 2025
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection MingShan Liu Shi Bo Jialing Fang LRM 30 2 0 13 Apr 2025
Information-Theoretic Reward Decomposition for Generalizable RLHF Liyuan Mao Haoran Xu Amy Zhang Weinan Zhang Chenjia Bai 40 0 0 08 Apr 2025
Inference-Time Scaling for Generalist Reward Modeling Zijun Liu P. Wang Ran Xu Shirong Ma Chong Ruan Peng Li Yang Liu Y. Wu OffRL LRM 46 19 0 03 Apr 2025
Probabilistic Uncertain Reward Model Wangtao Sun Xiang Cheng Xing Yu Haotian Xu Zhao Yang Shizhu He Jun Zhao Kang Liu 60 0 0 28 Mar 2025
A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications Jian Guan Jiangxu Wu J. Li Chuanqi Cheng Wei Wu LM&MA 91 0 0 21 Mar 2025
From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment J. Li Jian Guan Songhao Wu Wei Wu Rui Yan 70 1 0 19 Mar 2025
OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responses Angela Lopez-Cardona Sebastian Idesis Miguel Barreda-Ángeles Sergi Abadal Ioannis Arapakis 51 0 0 13 Mar 2025
Teaching Metric Distance to Autoregressive Multimodal Foundational Models Jiwan Chung Saejin Kim Yongrae Jo J. Park Dongjun Min Youngjae Yu 76 0 0 04 Mar 2025
KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse Jingbo Yang Bairu Hou Wei Wei Yujia Bao Shiyu Chang VLM 41 2 0 21 Feb 2025
Drift: Decoding-time Personalized Alignments with Implicit User Preferences Minbeom Kim Kang-il Lee Seongho Joo Hwaran Lee Thibaut Thonet Kyomin Jung AI4TS 121 1 0 20 Feb 2025
Improve LLM-as-a-Judge Ability as a General Ability Jiachen Yu Shaoning Sun Xiaohui Hu Jiaxu Yan Kaidong Yu Xuelong Li ELM 92 5 0 17 Feb 2025
Reinforcement Learning Enhanced LLMs: A Survey Shuhe Wang Shengyu Zhang Jingyang Zhang Runyi Hu Xiaoya Li Tianwei Zhang Jiwei Li Fei Wu G. Wang Eduard H. Hovy OffRL 134 7 0 05 Dec 2024
Yi-Lightning Technical Report 01. AI : Alan Wake Albert Wang Bei Chen ... Yuxuan Sha Zhaodong Yan Zhiyuan Liu Zirui Zhang Zonghong Dai OSLM 102 3 0 02 Dec 2024
Interpreting Language Reward Models via Contrastive Explanations Junqi Jiang Tom Bewley Saumitra Mishra Freddy Lecue Manuela Veloso 76 1 0 25 Nov 2024
Self-Generated Critiques Boost Reward Modeling for Language Models Yue Yu Zhengxing Chen Aston Zhang L Tan Chenguang Zhu ... Suchin Gururangan Chao-Yue Zhang Melanie Kambadur Dhruv Mahajan Rui Hou LRM ALM 99 19 0 25 Nov 2024
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao Chenlu Ye Quanquan Gu Tong Zhang OffRL 57 3 0 07 Nov 2024
Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models Aliyah R. Hsu James Zhu Zhichao Wang Bin Bi Shubham Mehrotra ... Sougata Chaudhuri Regunathan Radhakrishnan S. Asur Claire Na Cheng Bin Yu ALM LRM 69 0 0 03 Nov 2024
UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function Zhichao Wang Bin Bi Z. Zhu Xiangbo Mao Jun Wang Shiyu Wang CLL 26 1 0 28 Oct 2024
Cross-lingual Transfer of Reward Models in Multilingual Alignment Jiwoo Hong Noah Lee Rodrigo Martínez-Castaño César Rodríguez James Thorne 48 4 0 23 Oct 2024
JudgeBench: A Benchmark for Evaluating LLM-based Judges Sijun Tan Siyuan Zhuang Kyle Montgomery William Y. Tang Alejandro Cuadron Chenguang Wang Raluca A. Popa Ion Stoica ELM ALM 56 40 0 16 Oct 2024
Taming Overconfidence in LLMs: Reward Calibration in RLHF Jixuan Leng Chengsong Huang Banghua Zhu Jiaxin Huang 39 8 0 13 Oct 2024
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment Enyu Zhou Guodong Zheng Binghui Wang Zhiheng Xi Shihan Dou ... Yurong Mou Rui Zheng Tao Gui Qi Zhang Xuanjing Huang ALM 65 18 0 13 Oct 2024
MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences Genta Indra Winata David Anugraha Lucky Susanto Garry Kuwanto Derry Wijaya 42 8 0 03 Oct 2024
DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life Yu Ying Chiu Liwei Jiang Yejin Choi 65 4 0 03 Oct 2024
HelpSteer2-Preference: Complementing Ratings with Preferences Zhilin Wang Alexander Bukharin Olivier Delalleau Daniel Egert Gerald Shen Jiaqi Zeng Oleksii Kuchaiev Yi Dong ALM 44 43 0 02 Oct 2024
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models Angela Lopez-Cardona Carlos Segura Alexandros Karatzoglou Sergi Abadal Ioannis Arapakis ALM 62 2 0 02 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown Xingzhou Lou Dong Yan Wei Shen Yuzi Yan Jian Xie Junge Zhang 53 22 0 01 Oct 2024
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge Tianhao Wu Weizhe Yuan O. Yu. Golovneva Jing Xu Yuandong Tian Jiantao Jiao Jason Weston Sainbayar Sukhbaatar ALM KELM LRM 64 74 0 28 Jul 2024
Towards Aligning Language Models with Textual Feedback Sauc Abadal Lloret S. Dhuliawala K. Murugesan Mrinmaya Sachan VLM 48 1 0 24 Jul 2024
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment Gerald Shen Zhilin Wang Olivier Delalleau Jiaqi Zeng Yi Dong ... Sahil Jain Ali Taghibakhshi Markel Sanz Ausin Ashwath Aithal Oleksii Kuchaiev 43 13 0 02 May 2024
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback Gaurav Pandey Yatin Nandwani Tahira Naseem Mayank Mishra Guangxuan Xu Dinesh Raghu Sachindra Joshi Asim Munawar Ramón Fernández Astudillo BDL 44 3 0 04 Feb 2024
Learning Evaluation Models from Large Language Models for Sequence Generation Chenglong Wang Hang Zhou Kai-Chun Chang Tongran Liu Chunliang Zhang Quan Du Tong Xiao Yue Zhang Jingbo Zhu ELM 46 3 0 08 Aug 2023
$Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information$ Understanding Dataset Difficulty with $\mathcal{V}$ -Usable Information Kawin Ethayarajh Yejin Choi Swabha Swayamdipta 167 157 0 16 Oct 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,833 0 17 Sep 2019