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Yiran Hu

Yiran Hu has 2 papers in our library, in 2024–2025, most of them on Legal AI; often with Qingyao Ai, Yiqun Liu, Haitao Li.

2 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 6 · 15 works · 122 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 107 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4825

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

🎓Tsinghua UniversityBeijing · China2023–2025 · 10 paperscurrent🎓University of WaterlooWaterloo · Canada2024–2025 · 3 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workLaw · 1 workPolitical Science and International Relations · 1 work

🧭 Topics 1Research subjects and languages the work is about.Legal AI · 1 work

 Works by year

2020s

20251 paperYiran Hu's papers of 202520241 paperYiran Hu's papers of 2024

 Papers

The most cited first (OpenAlex and our library).

  1. Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models (2024 · 98 citations)
    LLMs often produce fluent text that is factually wrong. Most detectors check that text only after generation is finished. They usually rely on another large model, which makes them slow and costly, and they cannot see how a particular model produced the error. The authors propose MIND, a framework that spots…
  2. LegalAgentBench: Evaluating LLM Agents in Legal Domain (2025 · 60 citations)
    LegalAgentBench addresses a gap in agent evaluation. General benchmarks such as AgentBench and ToolBench offer little insight into specialized legal work, and existing legal datasets mostly cover simple tasks like case retrieval or judgment prediction. The authors built a benchmark for LLM agents in the Chinese legal…

All works

4 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. Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language ModelsFindings of the Association for Computational LinguisticsWeihang Su, Changyue Wang, Qingyao Ai, et al.2024 · 98 citations
  2. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 60 citations
  3. JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System ↗arXiv:2503.14258 · no summary yetWeihang Su et al.2025 · 22 citations
  4. JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference ↗arXiv:2509.12104 · no summary yetZongyue Xue et al.2025 · 1 citation

 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.

 Cited by

Papers of our library cite their works 107 times (of the 141,840 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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