Shang-Wen Daniel Li
RESEARCH MANAGER | MENLO PARK, UNITED STATES
Shang-Wen Li is a Research Lead and Manager at Meta’s Fundamental AI Research (FAIR) team, and he worked at Apple Siri, Amazon Alexa and AWS before joining FAIR. He completed his PhD in 2016 at MIT in the Spoken Language Systems group of Computer Science and Artificial Intelligence Laboratory (CSAIL). His recent research is focused on representation learning and foundation models, multimodal large language models, and spoken language understanding.
Shang-Wen's Publications
December 11, 2024
NLP
COMPUTER VISION
Meta CLIP 1.2
Hu Xu, Bernie Huang, Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Scott Yih, Philippe Brunet, Kim Hazelwood, Ramya Raghavendra, Daniel Li (FAIR), Saining Xie, Christoph Feichtenhofer
December 11, 2024
April 22, 2024
NLP
Text Quality-Based Pruning for Efficient Training of Language Models
Vasu Sharma *, Karthik Padthe *, Newsha Ardalani, Kushal Tirumala, Russ Howes, Hu Xu, Bernie Huang, Daniel Li (FAIR), Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer
April 22, 2024
August 22, 2023
SPEECH & AUDIO
NLP
SeamlessM4T—Massively Multilingual & Multimodal Machine Translation
Seamless Communication, Loic Barrault, Andy Chung, David Dale, Ning Dong (AI), Paul-Ambroise Duquenne, Hady Elsahar, Hongyu Gong, Kevin Heffernan, John Hoffman, Christopher Klaiber, Peng-Jen Chen, Daniel Licht, Jean Maillard, Alice Rakotoarison, Kaushik Ram Sadagopan, Guillaume Wenzek, Abinesh Ramakrishnan, Alexandre Mourachko, Amanda Kallet, Ann Lee, Anna Sun, Bapi Akula, Benjamin Peloquin, Bernie Huang, Bokai Yu, Brian Ellis, Can Balioglu, Carleigh Wood, Changhan Wang, Christophe Ropers, Cynthia Gao, Daniel Li (FAIR), Elahe Kalbassi, Ethan Ye, Gabriel Mejia Gonzalez, Hirofumi Inaguma, Holger Schwenk, Igor Tufanov, Ilia Kulikov, Janice Lam, Jeff Wang (PM - AI), Juan Pino, Justin Haaheim, Justine Kao, Prangthip Hasanti, Kevin Tran, Maha Elbayad, Marta R. Costa-jussa, Mohamed Ramadan, Naji El Hachem, Onur Çelebi, Paco Guzmán, Paden Tomasello, Pengwei Li, Pierre Andrews, Ruslan Mavlyutov, Russ Howes, Safiyyah Saleem, Skyler Wang, Somya Jain, Sravya Popuri, Tuan Tran, Vish Vogeti, Xutai Ma, Yilin Yang
August 22, 2023
July 14, 2023
NLP
COMPUTER VISION
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning
Lili Yu, Bowen Shi, Ram Pasunuru, Benjamin Miller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russ Howes, Vasu Sharma, Jacob Xu, Uriel Singer, Daniel Li (FAIR), Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan
July 14, 2023
June 05, 2023
NLP
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
Yung-Sung Chuang, Wei Fang, Daniel Li (FAIR), Scott Yih, James Glass
June 05, 2023
October 14, 2022
NLP
SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning
Daniel Li (AI), Abdelrahman Mohamed, Annie Dong, Ching-Feng Yeh, Haibin Wu, Hung-yi Lee, Jiatong Shi, Kai-Wei Chang, Shinji Watanabe, Shu-Wen Yang, Tzu-Hsun Feng, Tzu-Quan Lin, Xuankai Chang, Zili Huang
October 14, 2022
May 22, 2022
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities
Annie Dong, Abdelrahman Mohamed, Shang-Wen Li, Andy T. Liu, Harry Chang, Hung-yi Lee, Jeff Lai, Jiatong Shi, Kushal Lakhotia, Phil Hall, Ray Chen, Sean Tsai, Shinji Watanabe, Shu-Wen Yang, Wenchin Huang, Xuankai Chang, Zili Huang
May 22, 2022
Foundational models
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Foundational models
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