Barlas Oguz

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 59

Top Topics

Contextual Features

Question Answering

Top Venues

EMNLP (Findings)

NAACL-HLT (Findings)

Publications

Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. ACL (Findings) (2024)
Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen
FLAME: Factuality-Aware Alignment for Large Language Models. CoRR (2024)
Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
Jointly Training Large Autoregressive Multimodal Models. ICLR (2024)
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
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. ACL (Findings) (2024)
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
Effective Long-Context Scaling of Foundation Models. NAACL-HLT (2024)
Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation. CoRR (2023)
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
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. CoRR (2023)
Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. CoRR (2023)
Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oguz
3DGen: Triplane Latent Diffusion for Textured Mesh Generation. CoRR (2023)
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
Effective Long-Context Scaling of Foundation Models. CoRR (2023)
Zechun Liu, Barlas Oguz, Aasish Pappu, Yangyang Shi, Raghuraman Krishnamoorthi
Binary and Ternary Natural Language Generation. ACL (1) (2023)
Zechun Liu, Barlas Oguz, Aasish Pappu, Yangyang Shi, Raghuraman Krishnamoorthi
Binary and Ternary Natural Language Generation. CoRR (2023)
Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal
Hierarchical Video-Moment Retrieval and Step-Captioning. CoRR (2023)
Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C. Gee, Yixin Nie
The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task. CoRR (2023)
Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oguz
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding. CoRR (2023)
Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal
Hierarchical Video-Moment Retrieval and Step-Captioning. CVPR (2023)
Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Wang
Text-guided 3D Human Generation from 2D Collections. EMNLP (Findings) (2023)
Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. ACL (1) (2023)
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval. CoRR (2023)
Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. ACL (2) (2023)
Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
Jointly Training Large Autoregressive Multimodal Models. CoRR (2023)
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. EMNLP (Findings) (2023)
Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Yang Wang
Text-guided 3D Human Generation from 2D Collections. CoRR (2023)
Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang
Bridging the Training-Inference Gap for Dense Phrase Retrieval. EMNLP (Findings) (2022)
Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP (Findings) (2022)
Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. CoRR (2022)
Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad
BiT: Robustly Binarized Multi-distilled Transformer. CoRR (2022)
Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. CoRR (2022)
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad
Simple Local Attentions Remain Competitive for Long-Context Tasks. NAACL-HLT (2022)
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. NAACL-HLT (Findings) (2022)
Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. NAACL-HLT (Findings) (2022)
Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad
BiT: Robustly Binarized Multi-distilled Transformer. NeurIPS (2022)
Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad
Domain-matched Pre-training Tasks for Dense Retrieval. NAACL-HLT (Findings) (2022)
Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel
Boosted Dense Retriever. NAACL-HLT (2022)
Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang
Bridging the Training-Inference Gap for Dense Phrase Retrieval. CoRR (2022)
Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? CoRR (2021)
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
Joint Verification and Reranking for Open Fact Checking Over Tables. ACL/IJCNLP (1) (2021)
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
Multi-Task Retrieval for Knowledge-Intensive Tasks. ACL/IJCNLP (1) (2021)
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
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR (2021)
Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee, Hakan Inan, Vikas Bhardwaj
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering. CoRR (2021)
Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad
Domain-matched Pre-training Tasks for Dense Retrieval. CoRR (2021)
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad
Simple Local Attentions Remain Competitive for Long-Context Tasks. CoRR (2021)
Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel
Boosted Dense Retriever. CoRR (2021)
Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR (2021)
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
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Wen-tau Yih, Sonal Gupta, Xilun Chen
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. CoRR (2021)
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
Multi-task Retrieval for Knowledge-Intensive Tasks. CoRR (2021)
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
Dense Passage Retrieval for Open-Domain Question Answering. CoRR (2020)
Patrick S. H. Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk
MLQA: Evaluating Cross-lingual Extractive Question Answering. ACL (2020)
Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR (2020)
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
Dense Passage Retrieval for Open-Domain Question Answering. EMNLP (1) (2020)
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. CoRR (2020)
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
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
Joint Verification and Reranking for Open Fact Checking Over Tables. CoRR (2020)
Patrick S. H. Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk
MLQA: Evaluating Cross-lingual Extractive Question Answering. CoRR (2019)
Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov
Bridging the domain gap in cross-lingual document classification. CoRR (2019)
Ahmed Aly, Kushal Lakhotia, Shicong Zhao, Mrinal Mohit, Barlas Oguz, Abhinav Arora, Sonal Gupta, Christopher Dewan, Stef Nelson-Lindall, Rushin Shah
PyText: A Seamless Path from NLP research to production. CoRR (2018)
Katherine Yu, Haoran Li, Barlas Oguz
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification. Rep4NLP@ACL (2018)
Barlas Oguz, Issac Alphonso, Shuangyu Chang
Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features. INTERSPEECH (2016)
Shuangyu Chang, Abhik Lahiri, Issac Alphonso, Barlas Oguz, Michael Levit, Benoît Dumoulin
Discriminative training of context-dependent language model scaling factors and interpolation weights. ASRU (2015)
Barlas Oguz, Venkat Anantharam, Ilkka Norros
Stable Distributed P2P Protocols Based on Random Peer Sampling. IEEE/ACM Trans. Netw. 23 (5) (2015)
Zhiheng Huang, Geoffrey Zweig, Michael Levit, Benoît Dumoulin, Barlas Oguz, Shawn Chang
Accelerating recurrent neural network training via two stage classes and parallelization. ASRU (2013)
Barlas Oguz, Venkat Anantharam
Hurst Index of Functions of Long-Range-Dependent Markov Chains. J. Appl. Probab. 49 (2) (2012)
Barlas Oguz, Venkat Anantharam
Pointwise lossy source coding theorem for sources with memory. ISIT (2012)
Barlas Oguz, Venkat Anantharam
Long range dependent Markov chains with applications. ITA (2012)
Barlas Oguz, Venkat Anantharam, Ilkka Norros
Stable, distributed P2P protocols based on random peer sampling. Allerton Conference (2012)
Barlas Oguz, Venkat Anantharam, Ilkka Norros
Stable, scalable, decentralized P2P file sharing with non-altruistic peers CoRR (2011)
Barlas Oguz, Venkat Anantharam
Compressing a long range dependent renewal process. ISIT (2010)