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.

Madian's Publications

August 01, 2024

NLP

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Lucas Bandarkar, Davis Liang, Mikel Artetxe, Benjamin Muller, Abhinandan Krishnan, Don Husa, Luke Zettlemoyer, Madian Khabsa, Naman Goyal, Satya Narayan Shukla

August 01, 2024

April 05, 2024

CONVERSATIONAL AI

NLP

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming

Suyu Ge, Jiawei Han, Yuning Mao, Chunting Zhou, Madian Khabsa, Qifan Wang, Rui Hou, Yi-Chia Wang

April 05, 2024

December 07, 2023

CONVERSATIONAL AI

NLP

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Hakan Inan, Davide Testuggine, Jianfeng Chi, Kartikeya Upasani, Krithika Iyer, Madian Khabsa, Rashi Rungta, Yuning Mao

December 07, 2023

November 28, 2023

NLP

ROAST: Robustifying Language Models via Adversarial Perturbation with Selective Training

Jaehyung Kim, Davis Liang, Pascale Fung, Fuli Feng, Lifu Huang, Yuning Mao, Hanchao Yu, Madian Khabsa, Qifan Wang, Rui Hou

November 28, 2023

October 27, 2023

CONVERSATIONAL AI

NLP

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models

Davis Liang, Yuning Mao, Hila Gonen, Luke Zettlemoyer, Madian Khabsa, Marjan Ghazvininejad, Naman Goyal, Rui Hou

October 27, 2023

September 27, 2023

NLP

Effective Long-Context Scaling of Foundation Models

Sinong Wang, Angela Fan, Barlas Oguz, Han Fang, Hao Ma, Hejia Zhang, Igor Molybog, Karthik Abinav Sankararaman, Kshitiz Malik, Louis Martin, Madian Khabsa, Mike Lewis, Praj Bhargava, Rashi Rungta, Rui Hou, Sergey Edunov, Sharan Narang, Shruti Bhosale, Wenhan Xiong, Yashar Mehdad, Jingyu Liu

September 27, 2023

July 18, 2023

CONVERSATIONAL AI

NLP

Llama 2: Open Foundation and Fine-Tuned Chat Models

Moya Chen, Marie-Anne Lachaux, Thibaut Lavril, Hugo Touvron, Adina Williams, Alan Schelten, Amjad Almahairi, Andrew Kuan, Andrew Poulton, Angela Fan, Anthony Hartshorn, Artem Korenev, Aurelien Rodriguez, Binh Tang, Brian Fuller, Cristian Canton Ferrer, Cynthia Gao, Dan Bikel, David Esiobu, Diana Liskovich, Xiaoqing Ellen Tan, Eric Michael Smith, Guillem Cucurull, Hakan Inan, Igor Molybog, Iliyan Zarov, Isabel Kloumann, Puxin Xu, Jenya Lee, Jeremy Fu, Jeremy Reizenstein, Jude Fernandes, Kalyan Saladi, Kevin Stone, Louis Martin, Lukas Blecher, Madian Khabsa, Marcin Kardas, Melanie Kambadur, Naman Goyal, Nikolay Bashlykov, Peter Albert, Praj Bhargava, Punit Singh Koura, Pushkar Mishra, Ranjan Subramanian, Rashi Rungta, Robert Stojnic, Ross Taylor, Ruan Silva, Rui Hou, Saghar Hosseini, Sergey Edunov, Sharan Narang, Shruti Bhosale, Soumya Batra, Thomas Scialom, Todor Mihaylov, Vedanuj Goswami, Viktor Kerkez, Wenyin Fu, Xavier Martinet, Yasmine Babaei, Yinghai Lu, Yixin Nie, Yuchen Zhang, Yuning Mao, Zheng Yan

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