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Run Shao

Run Shao has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning, Efficient models & compression; often with Haiwei Wang, Mengke Chen, Qiutong Pan.

2 papers in our library · 2026

OpenAlex · h-index 4 · 16 works · 60 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 6 times in our library · ⭐ Paper Stars ranking: #10428

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

🎓Central South UniversityChangsha · China2024–2026 · 12 paperscurrent🏢BaiduBeijing · China2025–2026 · 5 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksEngineering · 1 workIndustrial and Manufacturing Engineering · 1 workSoftware · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction (2026 · 5 citations)
    Vision-language GUI agents usually assume each action works as intended. On real devices, latency, rendering lag or interruptions often make a tap do nothing. The agent then keeps acting on a false belief and can loop on the same useless action. VeriGUI tackles this by making the agent check, at every step, whether…
  2. Graph-Based Chain-of-Thought Pruning for Reducing Redundant Reflections in Reasoning LLMs (2026 · 1 citation)
    Reasoning LLMs trained with reinforcement learning often overthink and produce long chains of thought. The authors attribute much of this waste to unproductive self-reflection of two kinds. The model either checks trivial steps across the board (Indiscriminate Reflection) or keeps re-confirming results it has already…

 Co-authors here

9 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 6 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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