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Sihang Jiang

Sihang Jiang has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Yanghua Xiao, Fei Yu, Haoyu Wang.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 12 · 67 works · 1,279 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 25 times in our library · ⭐ Paper Stars ranking: #8269

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

🎓Fudan UniversityShanghai · China2019–2026 · 33 paperscurrent🔬China Academy of Building ResearchBeijing · China2023–2026 · 10 paperscurrent🔬State Key Laboratory of Building Safety and Built EnvironmentBeijing · China2024–2026 · 6 paperscurrent🎓Tsinghua UniversityBeijing · China2018–2023 · 8 papers🎓University of VirginiaCharlottesville · United States2021–2023 · 5 papers

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.

 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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workExperimental and Cognitive Psychology · 1 workPsychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation (2023 · 34 citations)
    Benchmarks such as MMLU, BIG-bench and HELM quickly become too easy for modern LLMs and may leak into their training data.
  2. Why Did Apple Fall: Evaluating Curiosity in Large Language Models (2026 · 1 citation)
    Curiosity-inspired intrinsic rewards are increasingly used in RL training of LLMs, but it has not been checked whether these models actually behave in curious ways, or whether the reported gains simply come from amplified statistical signals such as entropy.
  3. Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts (2026)
    GRPO-style reinforcement learning struggles when a problem exceeds what the model can currently solve. Every rollout fails, group advantages become zero, and the gradient disappears. Earlier fixes inject reference solutions, either whole or partial ("Answer-Hints"). The authors argue these fixes often clash with the…

 Co-authors here

12 of 14 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 25 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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