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Zheng Wu

Zheng Wu has 3 papers in our library, in 2024–2026, most of them on Code & programming languages; often with Guanlin Liu, Lin Yan, Chao Xin.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #10803

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

🎓Shanghai Jiao Tong UniversityShanghai · China2026 · 4 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 · 1 workLanguage and Linguistics · 1 workComputer Science Applications · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Code & programming languages · 1 work

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback (2025 · 12 citations)
    This ByteDance Seed study asks why adding more prompt data to PPO-based RLHF stops improving large language models.
  2. Process Supervision-Guided Policy Optimization for Code Generation (2024 · 12 citations)
    RL from unit-test feedback helps LLMs write better code, but the reward is sparse. A single pass/fail signal arrives only after the whole program runs, and a program that fails every test gives the model nothing to learn from. The authors (ByteDance and Oregon State University) propose Process Supervision-Guided…
  3. Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning (2026)
    The paper addresses continual learning for LLM-based agents, where acquiring new tasks tends to erase earlier skills (the stability–plasticity dilemma).

 Co-authors here

12 of 17 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 24 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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