Yuchen Li
Yuchen Li has 4 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Chenyang Lu, Daiting Shi, Dawei Yin.
OpenAlex · h-index 2 · 7 works · 10 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #8609
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 2 works
🧭 Topics 3Research subjects and languages the work is about.Reasoning · 1 workBias, fairness & safety · 1 workLanguage models & pretraining · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Latent semantic indexing · 1 work
Works by year
2020s
Papers
- ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability (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. - Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression (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… - UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning (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.… - On the Representation Geometry of 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
- Chenyang Lu
- Daiting Shi
- Dawei Yin
- Jiaru Li
- Jiatong Li
- Jingyu Peng
- Jinman Zhao
- Kai Zhang
- Long Xia
- Maolin Wang
- Nan Wang
- Peiying Yu
Venues
- Findings of the Association for Computational Linguistics ×3: Findings of the Association for Computational Linguistics 2026 ×3
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
Cited by
Updated
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