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Lingyong Yan

Lingyong Yan has 2 papers in our library, in 2021–2023, most of them on Language models & pretraining, Knowledge graphs & ontologies, Information retrieval & search; often with Boxi Cao, Dawei Yin, Hongyu Lin.

2 papers in our library · 2021–2023

OpenAlex · ORCID · h-index 9 · 57 works · 517 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 320 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #2954

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

🏢BaiduBeijing · China2023–2026 · 36 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2020–2021 · 7 papers🔬Institute of SoftwareBeijing · China2021 · 3 papers🏛️Chinese Academy of SciencesBeijing · China2020–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workKnowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20231 paperIs ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents20211 paperKnowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases

 Papers

The most cited first (OpenAlex and our library).

  1. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents (2023 · 494 citations)
    The paper asks whether instruction-following LLMs such as ChatGPT and GPT-4 can rank search results directly, not just generate queries or passages.
  2. Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases (2021 · 141 citations)
    Do masked language models such as BERT actually store retrievable facts, or do they mainly exploit regularities in how they are evaluated? Cao et al.

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. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsWeiwei Sun, Lingyong Yan, Xinyu Ma, et al.Conference on Empirical Methods in Natural Language Processing (EMNLP) · 494 citations
  2. Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge BasesBoxi Cao, Hongyu Lin, Xianpei Han, et al.Annual Meeting of the Association for Computational Linguistics (ACL) · 141 citations
  3. Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking · original ↗ · no summary yet · Proceedings of the 2025 Conference on Empirical Methods in Natural Language…Junda Zhu et al.2025 · 21 citations

 Co-authors here

10 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 320 times (of the 141,840 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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