Fanqing Meng

Fanqing Meng has 2 papers in our library, in 2025, most of them on Reasoning, Vision & language, Efficient models & compression; often with Botian Shi, Daocheng Fu, Enzhe Lu.

2 papers in our library · 2025

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

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

The most cited first (OpenAlex and our library).

Kimi Linear: An Expressive, Efficient Attention Architecture (2025 · 51 citations)
Softmax attention becomes a bottleneck for agentic and RL-heavy LLM workloads. Its cost grows quadratically with sequence length, and its KV cache keeps expanding during long decoding. Earlier linear-attention and hybrid designs saved compute but usually lost quality or were only tested at small scale. The Kimi Team…
MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning (2025 · 49 citations)
Rule-based reinforcement learning in the style of DeepSeek-R1 has greatly improved text-only reasoning. Earlier attempts to bring it to vision-language models used small models and easy tasks, and their training often became unstable. The authors address this with two contributions. The first is MMK12, a multimodal…

12 of 14 co-authors with a page, the most papers together first.

Papers of our library cite their works 161 times (of the 149,439 papers whose bibliographies we read); 44 citing papers with a page here →.

Updated 3 November 2026