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Bingshuai Liu

Bingshuai Liu has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Vision & language, Speech & spoken language; often with Chenyang Lyu, Jinsong Su, Longyue Wang.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 3 · 7 works · 44 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 59 times in our library · ⭐ Paper Stars ranking: #8142

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

🎓Xiamen UniversityXiamen · China2021–2026 · 6 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 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 5Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 worksSpeech & spoken language · 1 workInformation retrieval & search · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration (2023 · 75 citations)
    Instruction-tuned LLMs are strong on text, but how well they handle other kinds of input is still underexplored.
  2. Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models (2023 · 13 citations)
    Chain-of-thought (CoT) prompting helps large language models solve reasoning problems, but in multi-modal question answering it is unclear which worked examples should go into the prompt.
  3. Orchestrating Tokens and Sequences: Dynamic Hybrid Policy Optimization for RLVR (2026 · 1 citation)
    RLVR methods for training LLMs on reasoning operate at a single granularity. GRPO corrects off-policy updates per token, which supports precise credit assignment but becomes noisy and unstable. GSPO uses one length-normalized ratio for a whole response, which matches sequence-level rewards and is steadier but gives…

 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 59 times (of the 149,439 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated

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