Elamur Research⌕
☰
home / authors / Jianhao Yan

Jianhao Yan

Jianhao Yan has 2 papers in our library, in 2025, most of them on Reasoning; often with Ganqu Cui, Xiaoye Qu, Yafu Li.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 13 · 58 works · 555 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 146 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #7521

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Learning to Reason under Off-Policy Guidance (2025 · 68 citations)
    Reinforcement learning with verifiable rewards (RLVR) has driven recent progress in large reasoning models.
  2. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond (2025 · 55 citations)
    Large Reasoning Models (LRMs) such as DeepSeek-R1, OpenAI o1/o3 and QwQ gain accuracy by writing long chain-of-thought (CoT) traces before answering.

All works

6 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. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
  2. Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhilin Wang et al.2025 · 3 citations
  3. Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetJianhao Yan et al.2022 · 2 citations

 Co-authors here

12 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 146 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

Updated

↑ back to top

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