Barlas Oğuz
RESEARCH SCIENTIST | MENLO PARK, UNITED STATES
Barlas is a research scientist at Facebook AI, working on question answering and information retrieval. Previously, he was an applied researcher at Microsoft, Sunnyvale, working on language modeling. He received his Ph.D degree at University of California, Berkeley in information theory, and a BS degree in Electrical Engineering from Bilkent University in Ankara, Turkey.
Research Areas
Barlas's Publications
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
June 20, 2023
NLP
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
Minghan Li, Jack Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Scott Yih, Xilun Chen
June 20, 2023
July 07, 2022
NLP
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training
Xilun Chen, Armen Aghajanyan, Barlas Oguz, Scott Yih, Sonal Gupta, Patrick Huber
July 07, 2022
May 06, 2022
Domain-matched Pre-training Tasks for Dense Retrieval
Barlas Oguz, Aleksandra Piktus, Anchit Gupta, Kushal Lakhotia, Patrick Lewis, Scott Yih, Sebastian Riedel, Sonal Gupta, Vladimir Karpukhin, Xilun Chen, Yashar Mehdad
May 06, 2022
May 02, 2020
MLQA: Evaluating Cross-lingual Extractive Question Answering
Patrick Lewis, Barlas Oguz, Holger Schwenk, Ruty Rinott, Sebastian Riedel
May 02, 2020
July 20, 2018
RESEARCH
SPEECH & AUDIO
Multilingual seq2seq training with similarity loss for cross-lingual document classification
Katherin Yu, Barlas Oguz, Haoran Li
July 20, 2018
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