Pinyuan Feng

Pinyuan Feng has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Vision & language; often with Jinfa Huang, Ruixiang Tang, Yanshu Li.

2 papers in our library · 2025–2026

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).

TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration (2025 · 22 citations)
Large vision–language models (LVLMs) can learn tasks from interleaved image–text demonstrations, but their in-context learning (ICL) is fragile. Small changes to the chosen demonstrations (ICDs) can noticeably shift outputs, and existing selection methods rely on hand-crafted relevance metrics.
Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation Cues (2026)
This study asks whether Vision-Language Models (VLMs) can determine which object a person is looking at, a nonverbal cue that people use to resolve references in conversation.

3 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 18 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 2 November 2026