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.

Barlas's Publications

December 17, 2024

NLP

FLAME : Factuality-Aware Alignment for Large Language Models

Luyu Gao, Jimmy Lin, Xilun Chen, Barlas Oguz, Jack Lin, Scott Yih, Wenhan Xiong

December 17, 2024

December 12, 2024

NLP

CORE MACHINE LEARNING

Memory Layers at Scale

Barlas Oguz, Vincent-Pierre Berges

December 12, 2024

June 14, 2024

NLP

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

Akari Asai, Minghan Li, Jimmy Lin, Xilun Chen, Barlas Oguz, Sheng-Chieh Lin, Scott Yih

June 14, 2024

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

June 20, 2023

NLP

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval

Jimmy Lin, Xilun Chen, Asish Ghoshal, Barlas Oguz, Jack Lin, Minghan Li, Scott Yih, Yashar Mehdad

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