--- title: "Yuchen Li · Xidian University — author profile and papers" description: "Yuchen Li, Xidian University: 5 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yuchen-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuchen-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuchen Li # Yuchen Li Yuchen Li has 5 papers in our library, in 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/), [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/), [Chenyang Lu](https://md.research.elamur.ai/free/en/authors/chenyang-lu/). 5 papers in our library · 2026 [OpenAlex](https://openalex.org/A5129667901) · [ORCID](https://orcid.org/0000-0002-3869-7881) · [Wikidata](https://www.wikidata.org/wiki/Q130831128) · [**h-index 0**](https://openalex.org/authors/A5129667901) · [13 works](https://openalex.org/works?filter=author.id:A5129667901) · [0 citations](https://openalex.org/works?filter=author.id:A5129667901&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yuchen-li/#papers) · [🔗 Cited 24 times in our library](https://md.research.elamur.ai/free/en/authors/yuchen-li/cited-by/) · [⭐ Paper Stars ranking: #9807](https://md.research.elamur.ai/free/en/paper-stars/page/99/#star-9807) 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=Yuchen+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuchen+Li) · [dblp](https://dblp.org/search?q=Yuchen+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yuchen+Li) ## Affiliations [🏢**Baidu** Beijing · China 2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/baidu/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Hefei Institutes of Physical Science** Hefei · China 2026 · 1 paper*current*](https://ror.org/046n57345) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Xidian University** Xi'an · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/xidian-university/) 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 6 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/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Latent semantic indexing · 1 work](https://md.research.elamur.ai/free/en/concepts/latent-semantic-indexing/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/yuchen-li/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability](https://md.research.elamur.ai/free/en/papers/liu-2026-reasonrank-empowering-passage-ranking-strong/)** *(2026 · 18 citations)* LLM-based listwise rerankers struggle with complex search needs, such as expert StackExchange questions, coding, or math, because they are mostly trained on web search data like MSMARCO. 2. **[Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression](https://md.research.elamur.ai/free/en/papers/peng-2026-logic-jailbreak-efficiently-unlocking-llm/)** *(2026 · 8 citations)* The paper asks why safety-aligned LLMs still give in to jailbreaks. The authors propose that alignment learns refusal mostly from surface token patterns, so a harmful request with the same meaning but an unfamiliar form can slip past safeguards. To test this, they present LogiBreak, a black-box attack that rewrites a… 3. **[UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2026-unicreative-unifying-long-form-logic/)** *(2026 · 1 citation)* LLM creative writing faces two opposite problems. Long stories and scripts need global planning, or they drift off topic, repeat themselves and lose structure. Short pieces such as poems, slogans or blessings get worse when forced through rigid outlines, and models already tend toward bland, high-probability wording.… 4. **[Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-adversarial-yet-cooperative-multi-perspective/)** *(2026)* Most agentic RAG systems rely on one model that both searches and reasons. When retrieved documents are incomplete or contradictory, that single viewpoint can reinforce its own mistakes. Training on final-answer rewards also cannot tell sound reasoning from a lucky guess. The authors propose ARR (Adversarial… 5. **[On the Representation Geometry of LoRA Model Merging](https://md.research.elamur.ai/free/en/papers/lu-2026-representation-geometry-lora-model-merging/)** *(2026)* Combining several task-specific LoRA adapters into one model without further training is hard because their low-rank updates tend to occupy misaligned subspaces. ## Co-authors here 12 of 31 co-authors with a page, the most papers together first. - [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/) ×2 - [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/) - [Chenyang Lu](https://md.research.elamur.ai/free/en/authors/chenyang-lu/) - [Daiting Shi](https://md.research.elamur.ai/free/en/authors/daiting-shi/) - [Haosen Wang](https://md.research.elamur.ai/free/en/authors/haosen-wang/) - [Jiaru Li](https://md.research.elamur.ai/free/en/authors/jiaru-li/) - [Jiatong Li](https://md.research.elamur.ai/free/en/authors/jiatong-li/) - [Jiayi Wu](https://md.research.elamur.ai/free/en/authors/jiayi-wu/) - [Jingyu Peng](https://md.research.elamur.ai/free/en/authors/jingyu-peng/) - [Jinman Zhao](https://md.research.elamur.ai/free/en/authors/jinman-zhao/) - [Jizhou Huang](https://md.research.elamur.ai/free/en/authors/jizhou-huang/) - [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/) ## 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/) ×4: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×4 - [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 24 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuchen-li/cited-by/). Updated 2 November 2026