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Lichao Sun

Lichao Sun has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Bias, fairness & safety; often with Yue Huang, Bosi Wen, Haoran Wang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 43 · 202 works · 9,507 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 480 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #4189

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

🎓Lehigh UniversityBethlehem · United States2020–2026 · 137 paperscurrent🎓University of Illinois ChicagoChicago · United States2017–2021 · 15 papers🔬Mayo ClinicRochester · United States2023–2025 · 2 papers🎓Yangtze UniversityJingzhou · China2022 · 2 papers🎓University of Nebraska–LincolnLincoln · United States2016–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20241 paperTrustLLM: Trustworthiness in Large Language Models20231 paperAlignBench: Benchmarking Chinese Alignment of Large Language Models

 Papers

The most cited first (OpenAlex and our library).

  1. TrustLLM: Trustworthiness in Large Language Models (2024 · 226 citations)
    TrustLLM tackles the lack of a unified way to judge whether large language models behave reliably and responsibly.
  2. AlignBench: Benchmarking Chinese Alignment of Large Language Models (2023 · 73 citations)
    Chinese benchmarks such as C-Eval and CMMLU score exam-style knowledge. They do not show whether an instruction-tuned model handles real user requests well. LLM-as-Judge suites like AlpacaEval and MT-Bench, meanwhile, exist only in English. AlignBench fills this gap with 683 Chinese queries taken mostly from an…

All works

7 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. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  2. LLaVA-CoT: Let Vision Language Models Reason Step-by-SteparXiv:2411.10440 · original ↗ · no summary yetGuowei Xu et al.2024 · 133 citations
  3. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UsearXiv:2310.03128 · original ↗ · no summary yetYue Huang et al.2023 · 78 citations
  4. AlignBench: Benchmarking Chinese Alignment of Large Language ModelsarXiv:2311.18743Xiao Liu, Xuanyu Lei, Shengyuan Wang, et al.2023 · 73 citations
  5. MetaAgents: Large Language Model Based Agents for Decision-Making on TeamingarXiv:2310.06500 · original ↗ · no summary yetYuan Li; Lichao Sun;, Yixuan Zhang2023 · 73 citations
  6. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788 · original ↗ · no summary yetDongping Chen et al.2024 · 51 citations
  7. SafeAgent: Safeguarding LLM Agents via an Automated Risk SimulatorProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetXueyang Zhou et al.2026 · 1 citation

 Co-authors here

12 of 16 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 480 times (of the 141,840 papers whose bibliographies we read); 31 citing papers with a page here →.

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