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Tiansheng Hu

Tiansheng Hu has 4 papers in our library, in 2025–2026, most of them on Evaluation & benchmarks, Information retrieval & search; often with Yilun Zhao, Arman Cohan, Manasi Patwardhan.

4 papers in our library · 2025–2026

OpenAlex · h-index 2 · 15 works · 7 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #8979

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

🎓New York UniversityNew York · United States2026 · 6 paperscurrent🎓New York University ShanghaiShanghai · China2025–2026 · 6 paperscurrent🎓Yale UniversityNew Haven · United States2026 · 4 paperscurrent

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

 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).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 1 workHistory and Philosophy of Science · 2 works

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks (2025 · 11 citations)
    Judging how well foundation models answer open-ended research questions that rely on scientific papers is hard.
  2. SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature (2026 · 7 citations)
    Scientific output keeps growing quickly, and existing retrieval-augmented generation (RAG) tools for literature QA have four main weaknesses.
  3. RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation (2026 · 2 citations)
    LLM-drafted peer reviews often sound fluent but stay generic, so authors get little guidance they can actually implement.
  4. Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future (2026 · 1 citation)
    This survey asks how far large language models can support or automate scholarly peer review. It treats review as a full pipeline (reviewing, rebuttal, meta-review, decision, and revision) rather than a single text-generation step. The authors build a taxonomy across three areas:

 Co-authors here

12 of 13 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 16 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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