Barlas Oguz

78 papers A* 7A 1B 2C 2Misc 2Journal 42Unranked 22
YearRankTypeTitle / Venue / Authors
2025 J jnl
Continual Learning via Sparse Memory Finetuning.
CoRR
Jessy Lin, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih, Aram H. Markosyan, Vincent-Pierre Berges, Barlas Oguz
2025 — conf
DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers.
ACL (1)
Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen
2025 J jnl
DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers.
CoRR
Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen
2025 J jnl
Learning Facts at Scale with Active Reading.
CoRR
Jessy Lin, Vincent-Pierre Berges, Xilun Chen, Wen-tau Yih, Gargi Ghosh, Barlas Oguz
2025 J jnl
Learning to Reason for Factuality.
CoRR
Xilun Chen, Ilia Kulikov, Vincent-Pierre Berges, Barlas Oguz, Rulin Shao, Gargi Ghosh, Jason Weston, Wen-tau Yih
2025 A* conf
Memory Layers at Scale.
ICML
Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh
2025 J jnl
Post-training an LLM for RAG? Train on Self-Generated Demonstrations.
CoRR
Matthew Finlayson, Ilia Kulikov, Daniel M. Bikel, Barlas Oguz, Xilun Chen, Aasish Pappu
2024 — conf
Effective Long-Context Scaling of Foundation Models.
NAACL-HLT
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
2024 A* conf
FLAME : Factuality-Aware Alignment for Large Language Models.
NeurIPS
Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Scott Yih, Xilun Chen
2024 J jnl
FLAME: Factuality-Aware Alignment for Large Language Models.
CoRR
Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen
2024 A* conf
Jointly Training Large Autoregressive Multimodal Models.
ICLR
Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
2024 — conf
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.
ACL (Findings)
Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra
2024 J jnl
Memory Layers at Scale.
CoRR
Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh
2024 — conf
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts.
ACL (Findings)
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
2023 J jnl
3DGen: Triplane Latent Diffusion for Textured Mesh Generation.
CoRR
Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oguz
2023 — conf
A Study on the Efficiency and Generalization of Light Hybrid Retrievers.
ACL (2)
Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari
2023 — conf
Binary and Ternary Natural Language Generation.
ACL (1)
Zechun Liu, Barlas Oguz, Aasish Pappu, Yangyang Shi, Raghuraman Krishnamoorthi
2023 J jnl
Binary and Ternary Natural Language Generation.
CoRR
Zechun Liu, Barlas Oguz, Aasish Pappu, Yangyang Shi, Raghuraman Krishnamoorthi
2023 — conf
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval.
ACL (1)
Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
2023 J jnl
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding.
CoRR
Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oguz
2023 J jnl
Effective Long-Context Scaling of Foundation Models.
CoRR
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
2023 A* conf
Hierarchical Video-Moment Retrieval and Step-Captioning.
CVPR
Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal
2023 J jnl
Hierarchical Video-Moment Retrieval and Step-Captioning.
CoRR
Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal
2023 J jnl
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval.
CoRR
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
2023 — conf
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval.
EMNLP (Findings)
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
2023 J jnl
Jointly Training Large Autoregressive Multimodal Models.
CoRR
Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
2023 J jnl
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.
CoRR
Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra
2023 J jnl
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts.
CoRR
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
2023 — conf
Text-guided 3D Human Generation from 2D Collections.
EMNLP (Findings)
Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Wang
2023 J jnl
Text-guided 3D Human Generation from 2D Collections.
CoRR
Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Yang Wang
2023 J jnl
The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task.
CoRR
Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C. Gee, Yixin Nie
2023 J jnl
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation.
CoRR
Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih
2022 J jnl
A Study on the Efficiency and Generalization of Light Hybrid Retrievers.
CoRR
Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari
2022 A* conf
BiT: Robustly Binarized Multi-distilled Transformer.
NeurIPS
Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad
2022 J jnl
BiT: Robustly Binarized Multi-distilled Transformer.
CoRR
Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad
2022 — conf
Boosted Dense Retriever.
NAACL-HLT
Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel
2022 — conf
Bridging the Training-Inference Gap for Dense Phrase Retrieval.
EMNLP (Findings)
Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang
2022 J jnl
Bridging the Training-Inference Gap for Dense Phrase Retrieval.
CoRR
Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang
2022 — conf
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training.
NAACL-HLT (Findings)
Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen
2022 J jnl
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval.
CoRR
Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
2022 — conf
Domain-matched Pre-training Tasks for Dense Retrieval.
NAACL-HLT (Findings)
Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad
2022 — conf
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
EMNLP (Findings)
Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
2022 — conf
Simple Local Attentions Remain Competitive for Long-Context Tasks.
NAACL-HLT
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad
2022 — conf
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.
NAACL-HLT (Findings)
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
2021 A* conf
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.
ICLR
Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2021 J jnl
Boosted Dense Retriever.
CoRR
Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel
2021 J jnl
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training.
CoRR
Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Wen-tau Yih, Sonal Gupta, Xilun Chen
2021 J jnl
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering.
CoRR
Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee, Hakan Inan, Vikas Bhardwaj
2021 J jnl
Domain-matched Pre-training Tasks for Dense Retrieval.
CoRR
Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad
2021 — conf
Joint Verification and Reranking for Open Fact Checking Over Tables.
ACL/IJCNLP (1)
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
2021 — conf
Multi-Task Retrieval for Knowledge-Intensive Tasks.
ACL/IJCNLP (1)
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
2021 J jnl
Multi-task Retrieval for Knowledge-Intensive Tasks.
CoRR
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
2021 J jnl
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.
CoRR
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 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
2021 J jnl
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
CoRR
Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
2021 J jnl
Simple Local Attentions Remain Competitive for Long-Context Tasks.
CoRR
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad
2021 J jnl
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus.
CoRR
Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel
2020 J jnl
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.
CoRR
Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2020 — conf
Dense Passage Retrieval for Open-Domain Question Answering.
EMNLP (1)
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
2020 J jnl
Dense Passage Retrieval for Open-Domain Question Answering.
CoRR
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
2020 J jnl
Joint Verification and Reranking for Open Fact Checking Over Tables.
CoRR
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
2020 A* conf
MLQA: Evaluating Cross-lingual Extractive Question Answering.
ACL
Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk
2020 — conf
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.
NeurIPS (Competition and Demos)
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 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
2020 J jnl
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.
CoRR
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
2019 J jnl
Bridging the domain gap in cross-lingual document classification.
CoRR
Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov
2019 J jnl
MLQA: Evaluating Cross-lingual Extractive Question Answering.
CoRR
Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk
2018 — conf
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification.
Rep4NLP@ACL
Katherine Yu, Haoran Li, Barlas Oguz
2018 J jnl
PyText: A Seamless Path from NLP research to production.
CoRR
Ahmed Aly, Kushal Lakhotia, Shicong Zhao, Mrinal Mohit, Barlas Oguz, Abhinav Arora, Sonal Gupta, Christopher Dewan, Stef Nelson-Lindall, Rushin Shah
2016 A conf
Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features.
INTERSPEECH
Barlas Oguz, Issac Alphonso, Shuangyu Chang
2015 C conf
Discriminative training of context-dependent language model scaling factors and interpolation weights.
ASRU
Shuangyu Chang, Abhik Lahiri, Issac Alphonso, Barlas Oguz, Michael Levit, Benoît Dumoulin
2015 J jnl
Stable Distributed P2P Protocols Based on Random Peer Sampling.
IEEE/ACM Trans. Netw.
Barlas Oguz, Venkat Anantharam, Ilkka Norros
2013 C conf
Accelerating recurrent neural network training via two stage classes and parallelization.
ASRU
Zhiheng Huang, Geoffrey Zweig, Michael Levit, Benoît Dumoulin, Barlas Oguz, Shawn Chang
2012 J jnl
Hurst Index of Functions of Long-Range-Dependent Markov Chains.
J. Appl. Probab.
Barlas Oguz, Venkat Anantharam
2012 Misc conf
Long range dependent Markov chains with applications.
ITA
Barlas Oguz, Venkat Anantharam
2012 B conf
Pointwise lossy source coding theorem for sources with memory.
ISIT
Barlas Oguz, Venkat Anantharam
2012 — conf
Stable, distributed P2P protocols based on random peer sampling.
Allerton Conference
Barlas Oguz, Venkat Anantharam, Ilkka Norros
2011 J jnl
Stable, scalable, decentralized P2P file sharing with non-altruistic peers
CoRR
Barlas Oguz, Venkat Anantharam, Ilkka Norros
2010 B conf
Compressing a long range dependent renewal process.
ISIT
Barlas Oguz, Venkat Anantharam
2009 Misc conf
Structured least squares with bounded data uncertainties.
ICASSP
Mert Pilanci, Orhan Arikan, Barlas Oguz, Mustafa Ç. Pinar