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Shilong Li

Shilong Li has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning; often with Jiaheng Liu, Yancheng He, Hui Huang.

3 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 12 · 64 works · 322 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 63 times in our library · ⭐ Paper Stars ranking: #8586

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

🎓Shanghai Jiao Tong UniversityShanghai · China2026 · 2 paperscurrent🎓Northeastern UniversityShenyang · China2008–2024 · 9 papers🎓Beijing University of Posts and TelecommunicationsBeijing · China2023–2024 · 5 papers🏢Alibaba GroupHangzhou · China2024–2025 · 4 papers🎓China University of Mining and Technology - BeijingBeijing2025 · 3 papers🎓Henan UniversityKaifeng · China2024–2025 · 3 papers🎓Jinling Institute of TechnologyJiangning · China2023–2025 · 3 papers🎓Fujian Agriculture and Forestry UniversityFuzhou · China2024–2025 · 2 papers🎓University of Electronic Science and Technology of ChinaChengdu · China2023–2024 · 2 papers🎓Wuhan Institute of TechnologyWuhan · China2006–2007 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models (2024 · 34 citations)
    Hallucination remains a major weakness of large language models. Factuality is hard to measure when models produce long answers that mix many claims. OpenAI's SimpleQA addressed this with short fact-seeking questions, but it covers only English. Chinese SimpleQA is a Chinese counterpart: 3,000 short questions, each…
  2. Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? (2025 · 30 citations)
    Reasoning models in the o1 style produce very long chains of thought (CoT). Until this paper, there was no systematic way to check how good those chains are, or whether other models can find the mistakes in them. The authors built DeltaBench to address both gaps. It contains 1,236 problems from Math, Programming, PCB…
  3. MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training (2025 · 4 citations)
    Large language models often fail on instructions that combine many constraints, frequently dropping some of them.

 Co-authors here

12 of 19 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.

 Cited by

Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated

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