--- title: "Rui Li — author profile and papers · Bias, fairness & safety" description: "Rui Li, University of Science and Technology of China: 5 papers on Elamur Research (2023–2026), h-index 1 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/rui-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rui-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Rui Li # Rui Li Rui Li has 5 papers in our library, in 2023–2026, most of them on [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [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 [Lei Sha](https://md.research.elamur.ai/free/en/authors/lei-sha/), [Hao Li](https://md.research.elamur.ai/free/en/authors/hao-li/), [Heming Xia](https://md.research.elamur.ai/free/en/authors/heming-xia/). 5 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139770245) · [**h-index 1**](https://openalex.org/authors/A5139770245) · [9 works](https://openalex.org/works?filter=author.id:A5139770245) · [3 citations](https://openalex.org/works?filter=author.id:A5139770245&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/rui-li/#papers) · [🔗 Cited 744 times in our library](https://md.research.elamur.ai/free/en/authors/rui-li/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2483](https://md.research.elamur.ai/free/en/paper-stars/page/25/#star-2483) 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=Rui+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rui+Li) · [dblp](https://dblp.org/search?q=Rui+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Rui+Li) ## Affiliations [🎓**Peking University** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**University of Science and Technology of China** Hefei · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**Winning Health Technology Group** Shanghai · China 2026 · 1 paper*current*](https://ror.org/02ad5vq71) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 3 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/rui-li/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/rui-li/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/rui-li/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Survey on In-context Learning](https://md.research.elamur.ai/free/en/papers/dong-2023-survey-context-learning/)** *(2023 · 978 citations)* This survey maps the fast-growing research on in-context learning (ICL). In ICL a large language model solves a task after seeing a handful of worked examples placed in its prompt, and its weights are never updated. The authors first give a formal definition: the model scores candidate answers conditioned on a… 2. **[Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/li-2025-layer-aware-representation-filtering-purifying/)** *(2025 · 11 citations)* Fine-tuning a safety-aligned LLM can weaken its refusal behaviour even when the training data look harmless. 3. **[HAUNTATTACK: When Attack Follows Reasoning as a Shadow](https://md.research.elamur.ai/free/en/papers/ma-2026-hauntattack-when-attack-follows-reasoning/)** *(2026 · 3 citations)* Large Reasoning Models (LRMs) such as DeepSeek-R1 and o1 are strong at multi-step problem solving, but it is unclear whether this skill becomes a safety weakness when harmful intent is woven into the reasoning itself. 4. **[Speculative Decoding with a Speculative Vocabulary](https://md.research.elamur.ai/free/en/papers/williams-2026-speculative-decoding-speculative-vocabulary/)** *(2026 · 2 citations)* Speculative decoding speeds up language model inference without changing outputs. In EAGLE-style drafters, which use only a single decoder layer, most drafting time goes into projecting the hidden state onto the target model's large vocabulary. Earlier remedies (FR-Spec, VocabTrim, EAGLE-3) limit the drafter to a… 5. **[Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience Replay](https://md.research.elamur.ai/free/en/papers/wang-2026-be-your-own-red-teamer/)** *(2026 · 1 citation)* LLM safety training usually depends on fixed red-teaming resources, such as static defense prompts or pre-collected jailbreak datasets. ## All works 8 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. [**A Survey on In-context Learning arXiv:2301.00234**Qingxiu Dong, Lei Li, Damai Dai, et al.*2023 · 978 citations*](https://md.research.elamur.ai/free/en/papers/dong-2023-survey-context-learning/) 2. **[Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/li-2025-layer-aware-representation-filtering-purifying/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Li, Lijun Li, Zhenghao Lu, et al.*2025 · 11 citations* 3. **[HAUNTATTACK: When Attack Follows Reasoning as a Shadow](https://md.research.elamur.ai/free/en/papers/ma-2026-hauntattack-when-attack-follows-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingyuan Ma, Rui Li, Zheng Li, et al.*2026 · 3 citations* 4. **[Speculative Decoding with a Speculative Vocabulary](https://md.research.elamur.ai/free/en/papers/williams-2026-speculative-decoding-speculative-vocabulary/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Miles Williams, Young D. Kwon, Rui Li, et al.*2026 · 2 citations* 5. **[Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience Replay](https://md.research.elamur.ai/free/en/papers/wang-2026-be-your-own-red-teamer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Wang, Yanting Wang, Hao Li, et al.*2026 · 1 citation* 6. **[Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting ↗](https://aclanthology.org/2026.acl-long.917/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Heming Xia et al.*2026* 7. **[Eval-RAR: Evaluation-Driven Retrieval-Augmented Reasoning via Reinforcement Learning ↗](https://aclanthology.org/2026.findings-acl.189/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Heng Yu et al.*2026* 8. **[Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees ↗](https://aclanthology.org/2026.acl-long.1390/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zheng Zhang et al.*2026* ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Lei Sha](https://md.research.elamur.ai/free/en/authors/lei-sha/) ×3 - [Hao Li](https://md.research.elamur.ai/free/en/authors/hao-li/) ×2 - [Heming Xia](https://md.research.elamur.ai/free/en/authors/heming-xia/) ×2 - [Jingyuan Ma](https://md.research.elamur.ai/free/en/authors/jingyuan-ma/) ×2 - [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/) - [Ce Zheng](https://md.research.elamur.ai/free/en/authors/ce-zheng/) - [Damai Dai](https://md.research.elamur.ai/free/en/authors/damai-dai/) - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) - [Jing Shao](https://md.research.elamur.ai/free/en/authors/jing-shao/) - [Jingjing Xu](https://md.research.elamur.ai/free/en/authors/jingjing-xu/) - [Lei Li](https://md.research.elamur.ai/free/en/authors/lei-li/) - [Lijun Li](https://md.research.elamur.ai/free/en/authors/lijun-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3 - Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 744 times (of the 149,439 papers whose bibliographies we read); [129 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/rui-li/cited-by/). Updated 31 October 2026