Licheng Yu

RESEARCH SCIENTIST | MENLO PARK, UNITED STATES

Licheng Yu is now a Research Scientist at Facebook AI, working on Vision+Language Research and its Applications. He completed his PhD from UNC-Chapel Hill in 2019. His advisor is Tamara L. Berg. Before joining Facebook, he was a researcher at Microsoft. Licheng's research interest lies in the intersection between computer vision and natural language processing.

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Research Areas

Computer Vision

Conversational AI

Natural Language Processing (NLP)

Reinforcement Learning

Licheng's Work

Referring Expressions Paper

UNiversal Image-Text Representation (UNITER) Paper

Referring Expressions Demo

Referring Expressions Code

UNiversal Image-Text Representation (UNITER) Code

Licheng's Publications

December 01, 2025

CONVERSATIONAL AI

REINFORCEMENT LEARNING

Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following

Yun He, Wenzhe Li, Hejia Zhang, Vincent Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Selina Xiaoliang Peng, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui

December 01, 2025

Read the Paper

July 21, 2022

CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval

Licheng Yu, Animesh Sinha, Hugo Chen, Jun Chen, Mengjiao MJ Wang, Ning Zhang, Tamara Berg

July 21, 2022