Fanyi Pu

Fanyi Pu has 2 papers in our library, in 2023–2025, most of them on Vision & language, Language models & pretraining; often with Bo Li, Jingkang Yang, Joshua Adrian Cahyono.

2 papers in our library · 2023–2025

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: the number of works on each and its rating among them.

The most cited first (OpenAlex and our library).

Otter: A Multi-Modal Model with In-Context Instruction Tuning (2023 · 280 citations)
Most large multimodal models (LMMs) are tuned to answer one instruction about one image, or at most to draw on earlier dialogue turns.
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models (2025 · 110 citations)
Evaluation of large multimodal models (LMMs) is currently fragmented. Each model release tends to use its own scripts for data preparation, answer extraction and scoring, so reported numbers are often not comparable. The authors argue that benchmarks face a trilemma: broad coverage, low cost and freedom from…

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

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 187 times (of the 141,840 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated 24 October 2026