---
title: "Sihang Jiang · Fudan University — author profile and papers"
description: "Sihang Jiang, Fudan University: 3 papers on Elamur Research (2023–2026), h-index 12 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/sihang-jiang/"
---
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# Sihang Jiang

Sihang Jiang has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Yanghua Xiao](https://md.research.elamur.ai/free/en/authors/yanghua-xiao/), [Fei Yu](https://md.research.elamur.ai/free/en/authors/fei-yu/), [Haoyu Wang](https://md.research.elamur.ai/free/en/authors/haoyu-wang/).

3 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5103193321) · [ORCID](https://orcid.org/0000-0002-0736-6457) · [Wikidata](https://www.wikidata.org/wiki/Q130800044) · [**h-index 12**](https://openalex.org/authors/A5103193321) · [67 works](https://openalex.org/works?filter=author.id:A5103193321) · [1,279 citations](https://openalex.org/works?filter=author.id:A5103193321&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/sihang-jiang/#papers) · [🔗 Cited 25 times in our library](https://md.research.elamur.ai/free/en/authors/sihang-jiang/cited-by/) · [⭐ Paper Stars ranking: #8269](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8269)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Sihang+Jiang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sihang+Jiang) · [dblp](https://dblp.org/search?q=Sihang+Jiang) · [ACL Anthology](https://aclanthology.org/search/?q=Sihang+Jiang)

## Affiliations

[🎓**Fudan University** Shanghai · China 2019–2026 · 33 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🔬**China Academy of Building Research** Beijing · China 2023–2026 · 10 papers*current*](https://ror.org/036rzqn25) · [🔬**State Key Laboratory of Building Safety and Built Environment** Beijing · China 2024–2026 · 6 papers*current*](https://ror.org/00g8d1q08) · [🎓**Tsinghua University** Beijing · China 2018–2023 · 8 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Virginia** Charlottesville · United States 2021–2023 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-virginia/)

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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/sihang-jiang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/sihang-jiang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation](https://md.research.elamur.ai/free/en/papers/gu-2023-xiezhi-ever-updating-benchmark/)** *(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](https://md.research.elamur.ai/free/en/papers/wang-2026-why-did-apple-fall-evaluating/)** *(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](https://md.research.elamur.ai/free/en/papers/wang-2026-don-t-tell-answer-truly/)** *(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.

- [Yanghua Xiao](https://md.research.elamur.ai/free/en/authors/yanghua-xiao/) ×2
- [Fei Yu](https://md.research.elamur.ai/free/en/authors/fei-yu/)
- [Haoyu Wang](https://md.research.elamur.ai/free/en/authors/haoyu-wang/)
- [Jiansheng Wei](https://md.research.elamur.ai/free/en/authors/jiansheng-wei/)
- [Jiaqing Liang](https://md.research.elamur.ai/free/en/authors/jiaqing-liang/)
- [Lin Zhang](https://md.research.elamur.ai/free/en/authors/lin-zhang/)
- [Qianyu He](https://md.research.elamur.ai/free/en/authors/qianyu-he/)
- [Rui Xu](https://md.research.elamur.ai/free/en/authors/rui-xu/)
- [Xiaojun Meng](https://md.research.elamur.ai/free/en/authors/xiaojun-meng/)
- [Xinyi Wang](https://md.research.elamur.ai/free/en/authors/xinyi-wang/)
- [Yitong Wang](https://md.research.elamur.ai/free/en/authors/yitong-wang/)
- [Yixin Zhu](https://md.research.elamur.ai/free/en/authors/yixin-zhu/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

## 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 →](https://md.research.elamur.ai/free/en/authors/sihang-jiang/cited-by/).

Updated 1 November 2026
