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Wenyuan Zhang

Wenyuan Zhang has 3 papers in our library, in 2025–2026, most of them on Reasoning; often with Tingwen Liu, Shuaiyi Nie, Yao Chen.

3 papers in our library · 2025–2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 51 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7744

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

🏛️Chinese Academy of SciencesBeijing · China2026 · 3 paperscurrent🔬Institute of Information EngineeringBeijing · China2026 · 3 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2026 · 3 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ExpSeek: Self-Triggered Experience Seeking for Web Agents (2026 · 24 citations)
    Web agents that search the open web often explore poorly or answer too early, particularly when built on small LLMs.
  2. AttnPO: Attention-Guided Process Supervision for Efficient Reasoning (2026 · 18 citations)
    Reasoning models trained with RLVR tend to overthink, producing long chains of thought with little benefit.
  3. Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information (2025 · 10 citations)
    Small language models are cheaper to deploy than large ones but reason less well. Chain-of-Thought (CoT) distillation usually just trains them on teacher-written rationales, with every token weighted the same. The authors observe that teacher models such as Llama3-8B shift their attention from step to step toward the…

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. ExpSeek: Self-Triggered Experience Seeking for Web AgentsFindings of the Association for Computational LinguisticsWenyuan Zhang, Xinghua Zhang, Haiyang Yu, et al.2026 · 24 citations
  2. AttnPO: Attention-Guided Process Supervision for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaiyi Nie, Dingsiyu, Wenyuan Zhang, et al.2026 · 18 citations
  3. Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key InformationConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Chen, Jiawei Sheng, Wenyuan Zhang, et al.2025 · 10 citations
  4. HyperMem: Hypergraph Memory for Long-Term Conversations ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJuwei Yue et al.2026

 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 51 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

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