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Yunpeng Li

Yunpeng Li has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Chong Liu, Haoyu Dong, JiaRui Zhang.

2 papers in our library · 2026

OpenAlex · h-index 1 · 13 works · 1 citations OpenAlex, 2026-10-14

📄 2 works in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11759

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Chinese Academy of SciencesBeijing · China2025–2026 · 13 paperscurrent🔬Institute of Information EngineeringBeijing · China2025–2026 · 12 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2026 · 8 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 1 workLiterature and Literary Theory · 1 workComputer Vision and Pattern Recognition · 1 workHardware and Architecture · 1 work

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 1 workEfficient models & compression · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LitVISTA: A Benchmark for Narrative Orchestration in Literary Text (2026 · 1 citation)
    Large language models can produce long stories that hold together causally, yet their plots tend to be flatter than human ones, with simpler arcs and turning points that arrive too early.
  2. ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation Attacks (2026)
    Reasoning-capable LLMs are costly to build. A competitor can still copy their step-by-step behavior by querying a deployed model and training a student on its outputs, including the reasoning traces. Conventional text watermarks (token-level logit biases or sampling rules) tend to disappear in this process, because…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. LitVISTA: A Benchmark for Narrative Orchestration in Literary TextAnnual Meeting of the Association for Computational Linguistics (ACL)Mingzhe Lu, Yiwen Wang, Yanbing Liu, et al.2026 · 1 citation
  2. ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Peizhuo Lv, Ruihua Zhou, Yunpeng Li, et al.2026
  3. MirageBackdoor: A Stealthy Attack that Induces Think-Well-Answer-Wrong Reasoning ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYizhe Zeng et al.2026

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yunpeng-li/