--- title: "Binghai Wang — author profile and papers — Elamur Research" description: "Binghai Wang: 3 papers on Elamur Research (2023–2026), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/binghai-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/binghai-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Binghai Wang # Binghai Wang Binghai Wang has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Limao Xiong](https://md.research.elamur.ai/free/en/authors/limao-xiong/), [Rui Zheng](https://md.research.elamur.ai/free/en/authors/rui-zheng/), [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5112223450) · [**h-index 2**](https://openalex.org/authors/A5112223450) · [8 works](https://openalex.org/works?filter=author.id:A5112223450) · [27 citations](https://openalex.org/works?filter=author.id:A5112223450&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/binghai-wang/#papers) · [🔗 Cited 215 times in our library](https://md.research.elamur.ai/free/en/authors/binghai-wang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5984](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5984) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Binghai+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Binghai+Wang) · [dblp](https://dblp.org/search?q=Binghai+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Binghai+Wang) ## Affiliations [🎓**Fudan University** Shanghai · China 2024–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/binghai-wang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/binghai-wang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/binghai-wang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Secrets of RLHF in Large Language Models Part I: PPO](https://md.research.elamur.ai/free/en/papers/zheng-2023-secrets-rlhf-large-language-models/)** *(2023 · 135 citations)* RLHF is the main way to make LLMs helpful, honest and harmless. Its PPO stage, though, is unstable, sensitive to hyperparameters and costly to debug, and few open implementations existed. This report from the Fudan NLP Group and ByteDance breaks the RLHF pipeline into its stages: SFT, reward model training, and PPO… 2. **[RMB: Comprehensively Benchmarking Reward Models in LLM Alignment](https://md.research.elamur.ai/free/en/papers/zhou-2024-rmb-comprehensively-benchmarking-reward-models/)** *(2024 · 30 citations)* Reward models (RMs) steer LLM alignment, but existing evaluations such as RewardBench often fail to predict how well an RM actually guides alignment. 3. **[Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models](https://md.research.elamur.ai/free/en/papers/wang-2026-outcome-accuracy-is-not-enough/)** *(2026 · 3 citations)* Generative reward models (GenRMs) and LLM-as-a-Judge systems are usually trained and evaluated only on whether they pick the preferred response. ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. [**Secrets of RLHF in Large Language Models Part I: PPO arXiv:2307.04964**Rui Zheng, Shihan Dou, Songyang Gao, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-secrets-rlhf-large-language-models/) 2. **[Secrets of RLHF in Large Language Models Part II: Reward Modeling ↗](https://arxiv.org/abs/2401.06080) arXiv:2401.06080 · no summary yet**Binghai Wang et al.*2024 · 72 citations* 3. [**RMB: Comprehensively Benchmarking Reward Models in LLM Alignment arXiv:2410.09893**Enyu Zhou, Guodong Zheng, Binghai Wang, et al.*2024 · 30 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-rmb-comprehensively-benchmarking-reward-models/) 4. **[Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models](https://md.research.elamur.ai/free/en/papers/wang-2026-outcome-accuracy-is-not-enough/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binghai Wang, Yantao Liu, Yuxuan Liu, et al.*2026 · 3 citations* ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Limao Xiong](https://md.research.elamur.ai/free/en/authors/limao-xiong/) ×2 - [Rui Zheng](https://md.research.elamur.ai/free/en/authors/rui-zheng/) ×2 - [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/) ×2 - [Tao Gui](https://md.research.elamur.ai/free/en/authors/tao-gui/) ×2 - [Wei Shen](https://md.research.elamur.ai/free/en/authors/wei-shen/) ×2 - [Chang Gao](https://md.research.elamur.ai/free/en/authors/chang-gao/) - [Chujie Zheng](https://md.research.elamur.ai/free/en/authors/chujie-zheng/) - [Enyu Zhou](https://md.research.elamur.ai/free/en/authors/enyu-zhou/) - [Le Yu](https://md.research.elamur.ai/free/en/authors/le-yu/) - [Lu Chen](https://md.research.elamur.ai/free/en/authors/lu-chen/) - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) - [Qin Liu](https://md.research.elamur.ai/free/en/authors/qin-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 215 times (of the 149,439 papers whose bibliographies we read); [41 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/binghai-wang/cited-by/). Updated 31 October 2026