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Feng Zhu

Feng Zhu has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Dialogue systems, Reasoning; often with Bin Hu, Ding Liu, Dingnan Jin.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 6 · 16 works · 304 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 145 times in our library · ⭐ Paper Stars ranking: #5557

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

🏛️Chinese Academy of SciencesBeijing · China2024–2025 · 2 paperscurrent🔬Shenyang Institute of AutomationShenyang · China2024–2025 · 2 paperscurrent🎓East China Jiaotong UniversityNanchang · China2025 · 1 papercurrent🎓University of Chinese Academy of SciencesBeijing · China2025 · 1 papercurrent🎓Fudan UniversityShanghai · China2022–2023 · 6 papers🔬State Key Laboratory of Genetic EngineeringShanghai2022–2023 · 3 papers🔬The 28th Research Institute of China Electronics Technology Group CorporationNanjing · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 1 workArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksDialogue systems · 1 workVision & language · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic (2023 · 210 citations)
    Current multimodal LLMs can describe what an image contains, but they cannot handle where things are. A user cannot point to a region, and the model cannot point back to the objects it mentions. The authors call this missing ability Referential Dialogue (RD) and present Shikra, a generalist MLLM designed for it.
  2. Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs (2025 · 5 citations)
    Large-scale RL has produced strong reasoning models such as OpenAI-o1 and DeepSeek-R1, but their training recipes are mostly undisclosed.

 Co-authors here

8 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 145 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

Updated

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