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Guiyang Hou

Guiyang Hou has 3 papers in our library, in 2024–2026, most of them on Reasoning; often with Weiming Lu, Wenqi Zhang, Yongliang Shen.

3 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 4 · 29 works · 53 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 32 times in our library · ⭐ Paper Stars ranking: #7592

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

🎓Zhejiang UniversityHangzhou · China2023–2026 · 20 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksEngineering · 1 workComputer Vision and Pattern Recognition · 1 workControl and Systems Engineering · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2020s

20262 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization (2024 · 52 citations)
    Most LLM-based agents depend on hand-written prompts that fix task rules and behavior. They cannot improve through experience, so they struggle in dynamic multi-agent settings with hidden information. Agent-Pro tackles this by treating policy learning as gradient-free prompt optimization, with no parameter updates.
  2. Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks (2026 · 5 citations)
    Reasoning models do well at math and coding, but it is unclear whether they can handle embodied tasks. In these tasks an agent explores a room over many turns and must work with long sequences of alternating images and text. The authors present Embodied-Reasoner, a vision-language agent that combines visual search…
  3. CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution (2026 · 1 citation)
    Label-free reinforcement learning for LLM reasoning usually rewards a model for matching its own majority-voted answer.

 Co-authors here

12 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 32 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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