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Guanlin Liu

Guanlin Liu has 2 papers in our library, in 2024–2025, most of them on Code & programming languages; often with Lin Yan, Zheng Wu, Chao Xin.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 1 · 13 works · 6 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #10810

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.

 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. 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…

 Co-authors here

11 co-authors with a page, the most papers together first.

 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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