🧑‍🔬 Yanan Cao

🏛️ Affiliations

🏛️Chinese Academy of SciencesBeijing · China2008–2026 · 32 paperscurrent🔬Institute of Information EngineeringBeijing · China2013–2026 · 29 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2020–2026 · 13 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference (2025 · 9 citations)
   LLM-based chatbots often fall short on empathy and emotional support in multi-turn conversations, even when they are given commonsense knowledge.
2. EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment (2026)
   Entity alignment (EA) means finding entities in two knowledge graphs that denote the same real-world object.
3. Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework (2026)
   Most LLM watermarks share a secret key between the embedding step and the detector. Outsiders such as courts, regulators or platform moderators therefore cannot check a watermark on their own. They must either trust the provider's word or obtain the key, and handing over the key makes forging or removing the…

All works

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

1. Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense InferenceInternational Conference on Computational Linguistics (COLING)Lanrui Wang, Jiangnan Li, Chenxu Yang, et al.2025 · 9 citations
2. EA-Agent: A Structured Multi-Step Reasoning Agent for Entity AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yixuan Nan, Xixun Lin, Yanmin Shang, et al.2026
3. Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party FrameworkFindings of the Association for Computational LinguisticsZhuoshang Wang, Yubing Ren, Yanan Cao, et al.2026
4. CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYongxuan Wu et al.2026
5. Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetLanxue Zhang et al.2026
6. Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiaowei Zhu et al.2026

🤝 Co-authors here

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

• Fang Fang ×2
• Ge Zhang
• Huan Liu
• Jingang Wang
• Weiping Wang
• Zheng Lin

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026
• International Conference on Computational Linguistics (COLING): COLING 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Findings of the Association for Computational Linguistics: ACL 2026

🔗 Cited by

Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 1 November 2026

↑ back to top

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