Barlas Oguz

According to our database, Barlas Oguz authored at least 45 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task.

Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C. Gee, Yixin Nie

CoRR, 2023

Effective Long-Context Scaling of Foundation Models.

Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal 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

CoRR, 2023

Jointly Training Large Autoregressive Multimodal Models.

Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz

CoRR, 2023

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts.

Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra

CoRR, 2023

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra

CoRR, 2023

Text-guided 3D Human Generation from 2D Collections.

Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Yang Wang

CoRR, 2023

VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation.

Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih

CoRR, 2023

3DGen: Triplane Latent Diffusion for Textured Mesh Generation.

Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oguz

CoRR, 2023

CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding.

Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oguz

CoRR, 2023

How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval.

Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Text-guided 3D Human Generation from 2D Collections.

Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Hierarchical Video-Moment Retrieval and Step-Captioning.

Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Binary and Ternary Natural Language Generation.

Zechun Liu, Barlas Oguz, Aasish Pappu, Yangyang Shi, Raghuraman Krishnamoorthi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Study on the Efficiency and Generalization of Light Hybrid Retrievers.

Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

BiT: Robustly Binarized Multi-distilled Transformer.

Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Simple Local Attentions Remain Competitive for Long-Context Tasks.

Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Domain-matched Pre-training Tasks for Dense Retrieval.

Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.

Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Boosted Dense Retriever.

Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training.

Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Bridging the Training-Inference Gap for Dense Phrase Retrieval.

Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus.

Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick S. H. Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel

CoRR, 2021

Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering.

Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee, Hakan Inan, Vikas Bhardwaj

CoRR, 2021

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz

Proceedings of the 9th International Conference on Learning Representations, 2021

Joint Verification and Reranking for Open Fact Checking Over Tables.

Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-Task Retrieval for Knowledge-Intensive Tasks.

Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.

Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih

CoRR, 2020

Dense Passage Retrieval for Open-Domain Question Answering.

Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Dense Passage Retrieval for Open-Domain Question Answering.

Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MLQA: Evaluating Cross-lingual Extractive Question Answering.

Patrick S. H. Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Bridging the domain gap in cross-lingual document classification.

Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov

CoRR, 2019

2018

PyText: A Seamless Path from NLP research to production.

Ahmed Aly, Kushal Lakhotia, Shicong Zhao, Mrinal Mohit, Barlas Oguz, Abhinav Arora, Sonal Gupta, Christopher Dewan, Stef Nelson-Lindall, Rushin Shah

CoRR, 2018

Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification.

Katherine Yu, Haoran Li, Barlas Oguz

Proceedings of The Third Workshop on Representation Learning for NLP, 2018

2016

Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features.

Barlas Oguz, Issac Alphonso, Shuangyu Chang

Proceedings of the Interspeech 2016, 2016

2015

Stable Distributed P2P Protocols Based on Random Peer Sampling.

Barlas Oguz, Venkat Anantharam, Ilkka Norros

IEEE/ACM Trans. Netw., 2015

Discriminative training of context-dependent language model scaling factors and interpolation weights.

Shuangyu Chang, Abhik Lahiri, Issac Alphonso, Barlas Oguz, Michael Levit, Benoît Dumoulin

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2013

Accelerating recurrent neural network training via two stage classes and parallelization.

Zhiheng Huang, Geoffrey Zweig, Michael Levit, Benoît Dumoulin, Barlas Oguz, Shawn Chang

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Hurst Index of Functions of Long-Range-Dependent Markov Chains.

Barlas Oguz, Venkat Anantharam

J. Appl. Probab., 2012

Long range dependent Markov chains with applications.

Barlas Oguz, Venkat Anantharam

Proceedings of the 2012 Information Theory and Applications Workshop, 2012

Pointwise lossy source coding theorem for sources with memory.

Barlas Oguz, Venkat Anantharam

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

Stable, scalable, decentralized P2P file sharing with non-altruistic peers

Barlas Oguz, Venkat Anantharam, Ilkka Norros

CoRR, 2011

2010

Compressing a long range dependent renewal process.

Barlas Oguz, Venkat Anantharam

Proceedings of the IEEE International Symposium on Information Theory, 2010