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Daiting Shi

Daiting Shi has 3 papers in our library, in 2026, most of them on Reasoning; often with Long Xia, Dawei Yin, Liu Yang.

3 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 5 · 50 works · 159 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #9882

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

🏢BaiduBeijing · China2021–2026 · 41 paperscurrent🎓Shandong UniversityJinan · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

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

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Reinforced Efficient Reasoning via Semantically Diverse Exploration (2026 · 9 citations)
    RLVR methods such as GRPO assign one reward to a whole response. MCTS-based variants refine this by building tree-structured rollouts, which allows credit to be assigned per segment. However, they usually choose branch points using token-level generation entropy. This often splits on near-synonyms (e.g., "can" vs.…
  2. UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning (2026 · 1 citation)
    LLM creative writing faces two opposite problems. Long stories and scripts need global planning, or they drift off topic, repeat themselves and lose structure. Short pieces such as poems, slogans or blessings get worse when forced through rigid outlines, and models already tend toward bland, high-probability wording.…
  3. ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework (2026)
    Generative reward models (GRMs) produce a written analysis along with a preference verdict. Most are trained only on whether the final verdict is correct, so the quality of the reasoning goes unsupervised. ReflectRM addresses this by treating both kinds of judgment as one conditional generation task. In the first…

 Co-authors here

12 of 13 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 10 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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