Qifan Wang
RESEARCH SCIENTIST | MENLO PARK, UNITED STATES
Qifan Wang is a Research Scientist at Facebook AI, working on innovative Deep Learning and Natural Language Processing models for AI Integrity. Before joining Facebook, Qifan worked as a Research Engineer at Google Research, focusing on deep domain representations and large-scale object understanding.
Research Areas
Qifan's Publications
April 05, 2024
CONVERSATIONAL AI
NLP
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
April 05, 2024
November 28, 2023
NLP
ROAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
November 28, 2023
October 31, 2022
NLP
ML APPLICATIONS
AD-Drop: Attribution Driven Dropout for Robust Language Model Finetuning
Qifan Wang, Shaoliang Nie, Jinghao Deng, Tao Yang, Xiaojun Quan
October 31, 2022
July 20, 2022
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian
Qifan Wang, Dongfang Liu, Yingjie Victor Chen, Zhiwen Cao
July 20, 2022
May 04, 2022
GL-RG: Global-Local Representation Granularity for Video Captioning
Qifan Wang, Dongfang Liu, Fuli Feng, Liqi Yan, Xiangyu Zhang, Xiaojun Quan, Yiming Cui
May 04, 2022
February 09, 2022
WebFormer: The Web-page Transformer for Structure Information Extraction
Qifan Wang, Anirudh Ravula, Dongfang Liu, Fuli Feng, Xiaojun Quan, Yi Fang
February 09, 2022
Foundational models
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Foundational models
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