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Zhenyu Zhang

4 papers hereh-index 393 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL2
same name
  • Zhenyu Zhang — 13 papers, h 6
  • Zhenyu Zhang — 10 papers
  • Zhenyu Zhang — 9 papers, h 11
  • Zhenyu Zhang — 8 papers, h 3
  • Zhenyu Zhang — 8 papers, h 6
  • Zhenyu Zhang — 7 papers, h 18

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDemystifying Chains, Trees, and Graphs of Thoughts

11 citations · 11 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CL2026★ 11 cited

Demystifying Chains, Trees, and Graphs of Thoughts

Maciej Besta, Florim Memedi, Zhenyu Zhang +13

The field of natural language processing (NLP) has witnessed significant progress in recent years, with a notable focus on improving large language models' (LLM) performance throug…

cs.AI2025

Bridging Tool Dependencies and Domain Knowledge: A Graph-Based Framework for In-Context Planning

Shengjie Liu, Li Dong, Zhenyu Zhang

We present a framework for uncovering and exploiting dependencies among tools and documents to enhance exemplar artifact generation. Our method begins by constructing a tool knowle…

cs.AI2025

ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents

Zhenyu Zhang, Tianyi Chen, Weiran Xu +2

Long-horizon tasks requiring multi-step reasoning and dynamic re-planning remain challenging for large language models (LLMs). Sequential prompting methods are prone to context dri…

cs.CL2025

Healing Powers of BERT: How Task-Specific Fine-Tuning Recovers Corrupted Language Models

Shijie Han, Zhenyu Zhang, Andrei Arsene Simion

Language models like BERT excel at sentence classification tasks due to extensive pre-training on general data, but their robustness to parameter corruption is unexplored. To under…

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