--- title: "Limao Xiong · Fudan University — author profile and papers" description: "Limao Xiong, Fudan University: 3 papers on Elamur Research (2023–2024), h-index 6 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/limao-xiong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/limao-xiong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Limao Xiong # Limao Xiong Limao Xiong has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/), [Wei Shen](https://md.research.elamur.ai/free/en/authors/wei-shen/), [Binghai Wang](https://md.research.elamur.ai/free/en/authors/binghai-wang/). 3 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5060618975) · [**h-index 6**](https://openalex.org/authors/A5060618975) · [19 works](https://openalex.org/works?filter=author.id:A5060618975) · [1,042 citations](https://openalex.org/works?filter=author.id:A5060618975&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/limao-xiong/#papers) · [🔗 Cited 553 times in our library](https://md.research.elamur.ai/free/en/authors/limao-xiong/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5905](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5905) 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=Limao+Xiong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Limao+Xiong) · [dblp](https://dblp.org/search?q=Limao+Xiong) · [ACL Anthology](https://aclanthology.org/search/?q=Limao+Xiong) ## Affiliations [🎓**Fudan University** Shanghai · China 2022–2025 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏢**Meituan** Beijing · China 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/meituan/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/limao-xiong/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/limao-xiong/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. **[LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin](https://md.research.elamur.ai/free/en/papers/dou-2024-loramoe-alleviating-world-knowledge-forgetting/)** *(2024 · 93 citations)* The paper examines a trade-off in supervised fine-tuning (SFT) of LLMs. Adding much more instruction data keeps improving downstream tasks, but it also erodes the factual knowledge the model gained in pre-training. The authors build a 5-million-sample instruction set covering seven task categories and fine-tune… 3. **[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. ## 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. **[LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin](https://md.research.elamur.ai/free/en/papers/dou-2024-loramoe-alleviating-world-knowledge-forgetting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shihan Dou, Enyu Zhou, Yan Liu, et al.*2024 · 93 citations* 3. **[StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ↗](https://aclanthology.org/2024.acl-long.251/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shihan Dou et al.*2024 · 32 citations* 4. [**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/) ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/) ×3 - [Wei Shen](https://md.research.elamur.ai/free/en/authors/wei-shen/) ×3 - [Binghai Wang](https://md.research.elamur.ai/free/en/authors/binghai-wang/) ×2 - [Enyu Zhou](https://md.research.elamur.ai/free/en/authors/enyu-zhou/) ×2 - [Rui Zheng](https://md.research.elamur.ai/free/en/authors/rui-zheng/) ×2 - [Songyang Gao](https://md.research.elamur.ai/free/en/authors/songyang-gao/) ×2 - [Yan Liu](https://md.research.elamur.ai/free/en/authors/yan-liu/) ×2 - [Yuhao Zhou](https://md.research.elamur.ai/free/en/authors/yuhao-zhou/) ×2 - [Zhiheng Xi](https://md.research.elamur.ai/free/en/authors/zhiheng-xi/) ×2 - [Lu Chen](https://md.research.elamur.ai/free/en/authors/lu-chen/) - [Qin Liu](https://md.research.elamur.ai/free/en/authors/qin-liu/) - [Senjie Jin](https://md.research.elamur.ai/free/en/authors/senjie-jin/) ## 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/) ×2: [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/) ## Cited by Papers of our library cite their works 553 times (of the 149,439 papers whose bibliographies we read); [156 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/limao-xiong/cited-by/). Updated 30 October 2026