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Tinghui Zhu

Tinghui Zhu has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Jiangjie Chen, Aili Chen, Jian Xie.

3 papers in our library · 2024–2026

OpenAlex · h-index 2 · 11 works · 18 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 212 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6058

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

🎓Hong Kong Polytechnic UniversityHong Kong · China2026 · 1 papercurrent🎓Fudan UniversityShanghai · China2024 · 4 papers🎓University of California, DavisDavis · United States2024–2025 · 2 papers🎓The Ohio State UniversityColumbus · United States2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksPsychology · 1 workSocial Psychology · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. TravelPlanner: A Benchmark for Real-World Planning with Language Agents (2024 · 125 citations)
    Planning has long been studied in AI, but mostly in narrow settings with a single objective and a fixed correct answer.
  2. From Persona to Personalization: A Survey on Role-Playing Language Agents (2024 · 115 citations)
    This survey organizes the fast-growing research on Role-Playing Language Agents (RPLAs), which are LLM-based systems that take on an assigned persona.
  3. Can LLMs Learn to Map the World from Local Descriptions? (2026)
    This paper asks whether a language model can assemble a consistent global map when it only ever sees piecemeal, relative statements about places, much as people build mental maps from directions.

All works

4 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. TravelPlanner: A Benchmark for Real-World Planning with Language AgentsarXiv:2402.01622Jian Xie, Kai Zhang, Jiangjie Chen, et al.2024 · 125 citations
  2. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  3. Can LLMs Learn to Map the World from Local Descriptions?Annual Meeting of the Association for Computational Linguistics (ACL)Sirui Xia, Aili Chen, Xintao Wang, et al.2026
  4. Video Models Can Reason with Verifiable Rewards ↗arXiv (Cornell University) · no summary yetTinghui Zhu et al.2026

 Co-authors here

12 of 15 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 212 times (of the 149,439 papers whose bibliographies we read); 61 citing papers with a page here →.

Updated

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