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Zhiqiang Zhang

Zhiqiang Zhang has 3 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining; often with Jun Zhou, Xin Zhao, Xinyu Tang.

3 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 15 · 75 works · 865 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 27 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8862

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. 9 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. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering (2025 · 19 citations)
    Reasoning models such as o1 and DeepSeek-R1 depend on long chains of thought (long CoTs) with planning, checking and backtracking. Earlier work showed this behaviour can be triggered with little data and carries over to new tasks. This paper asks whether long CoT is a general capability already present inside LLMs.
  2. Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards (2026 · 4 citations)
    This paper asks what positive (correct) and negative (incorrect) rollouts each contribute when large reasoning models are trained with RLVR.
  3. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library (2026)
    RV-Syn tackles the shortage of reliable, complex mathematical training data for LLMs. Prior synthesis methods either rework existing annotated sets such as GSM8K and MATH, which limits diversity, or have a model write questions directly from documents or knowledge points. The authors argue that direct generation…

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. Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented Generation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetHaiyan Wu et al.2026

 Co-authors here

10 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 27 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

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