Madian Khabsa
RESEARCH SCIENTIST | SEATTLE, UNITED STATES
Madian Khabsa is a research scientist at Facebook AI Research (FAIR), where he works to improve machine learning, natural language processing, and multimodal understanding. Prior to Facebook, Madian worked to improve Siri at Apple. He has a Ph.D. in computer science and engineering from Pennsylvania State University.
Research Areas
Madian's Publications
August 01, 2024
NLP
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Don Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa
August 01, 2024
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
December 07, 2023
CONVERSATIONAL AI
NLP
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Davide Testuggine, Madian Khabsa
December 07, 2023
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 27, 2023
CONVERSATIONAL AI
NLP
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa
October 27, 2023
September 27, 2023
NLP
Effective Long-Context Scaling of Foundation Models
Wenhan Xiong, Igor Molybog, Hejia Zhang, Praj Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma, Jingyu Liu
September 27, 2023
July 18, 2023
CONVERSATIONAL AI
NLP
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Praj Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Andrew Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom
July 18, 2023
June 25, 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
Jane Yu, Alon Halevy, Luke Zettlemoyer, Madian Khabsa, Belinda Li, Jacob Andreas
June 25, 2022
May 22, 2022
UNIPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Madian Khabsa, Amjad Almahairi, Hao Ma, Lambert Mathias, Rui Hou, Scott Yih, Yuning Mao, Jiawei Han
May 22, 2022
June 25, 2020
NLP
Language Models as Fact Checkers?
Madian Khabsa, Belinda Li, Hao Ma, Scott Yih, Sinong Wang, Nayeon Lee
June 25, 2020
July 19, 2019
RESEARCH
NLP
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism
Madian Khabsa, Claire Cardie, Michele Banko, Ryan Y. Benmalek, Suma Desu
July 19, 2019
Foundational models
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Foundational models
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