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Lai Wei

Lai Wei has 3 papers in our library, in 2025–2026, most of them on Reasoning, Efficient models & compression; often with Chen Wang, Chenyang Shao, Dong Wang.

3 papers in our library · 2025–2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 47 times in our library · ⭐ Paper Stars ranking: #7681

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 · 2 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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksHealth Informatics · 1 workHealth Information Management · 1 workHealth Professions · 1 workMedicine · 1 workLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator (2025 · 36 citations)
    Medical QA benchmarks give a model the whole case at once. Real diagnosis is different: a clinician must gather facts step by step through conversation and tests. To measure this skill, the authors built AI Hospital, a multi-agent simulator. An LLM under test plays the Doctor, while GPT-3.5 drives two non-player…
  2. ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning (2025 · 19 citations)
    Large Reasoning Models (LRMs) such as DeepSeek-R1 tend to produce very long chains of thought, which raises inference cost.
  3. Targeted Exploration via Unified Entropy Control for Reinforcement Learning (2026)
    RL fine-tuning with GRPO, a critic-free method that normalizes rewards within rollout groups, tends to suffer from entropy collapse.

 Co-authors here

12 of 15 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 47 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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