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Fuzheng Zhang

Fuzheng Zhang has 4 papers in our library, in 2021–2026, most of them on Reasoning, Question answering, Information retrieval & search; often with Bo Wang, Defu Lian, Guorui Zhou.

4 papers in our library · 2021–2026

OpenAlex · ORCID · Wikidata · h-index 3 · 10 works · 32 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 225 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3165

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. 1 more institution 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. ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer (2021 · 647 citations)
    Sentence vectors taken directly from BERT, whether the [CLS] output or averaged token embeddings, behave poorly on semantic textual similarity (STS).
  2. DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering (2025 · 20 citations)
    Multi-hop question answering requires a model to chain several reasoning steps, and the facts it needs change as the reasoning unfolds.
  3. What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning (2025 · 11 citations)
    Long chain-of-thought (LCoT) reasoning lets LLMs solve hard problems, but it is unclear which properties of a reasoning trace indicate that the final answer will be right.
  4. CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning (2026 · 7 citations)
    The paper tackles unstable policy entropy when large language models are trained with RL for reasoning. PPO-style methods, including GRPO and DAPO, clip the importance sampling ratio, and this silently drops gradients from low-probability tokens. The authors split tokens by advantage sign and probability. They argue…

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Leanabell-Prover: Posttraining Scaling in Formal Reasoning ↗arXiv:2504.06122 · no summary yetJingyuan Zhang et al.2025 · 21 citations

 Co-authors here

12 of 18 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 225 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

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