Barlas Oguz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
11
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. | Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen |
| 2025 | ICML | Memory Layers at Scale. | Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ICLR | Jointly Training Large Autoregressive Multimodal Models. | Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz |
| 2024 | NAACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | Binary and Ternary Natural Language Generation. | Zechun Liu, Barlas Oguz, Aasish Pappu, Yangyang Shi, Raghuraman Krishnamoorthi |
| 2023 | CVPR | Hierarchical Video-Moment Retrieval and Step-Captioning. | Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal |
| 2023 | EMNLP | Text-guided 3D Human Generation from 2D Collections. | Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Wang |
| 2023 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | Bridging the Training-Inference Gap for Dense Phrase Retrieval. | Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang |
| 2022 | NAACL | 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 |
| 2022 | NAACL | Boosted Dense Retriever. | Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel |
| 2022 | NAACL | 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 |
| 2022 | NAACL | Domain-matched Pre-training Tasks for Dense Retrieval. | Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad |
| 2022 | NAACL | 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 |
| 2021 | ACL | Multi-Task Retrieval for Knowledge-Intensive Tasks. | Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh |
| 2021 | ACL | Joint Verification and Reranking for Open Fact Checking Over Tables. | Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel |
| 2021 | ICLR | Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. | Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz |
| 2020 | ACL | MLQA: Evaluating Cross-lingual Extractive Question Answering. | Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk |
| 2020 | EMNLP | Dense Passage Retrieval for Open-Domain Question Answering. | Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih |
| 2016 | Interspeech | Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features. | Barlas Oguz, Issac Alphonso, Shuangyu Chang |
| 2015 | ASRU | Discriminative training of context-dependent language model scaling factors and interpolation weights. | Shuangyu Chang, Abhik Lahiri, Issac Alphonso, Barlas Oguz, Michael Levit, Benot Dumoulin |
| 2013 | ASRU | Accelerating recurrent neural network training via two stage classes and parallelization. | Zhiheng Huang, Geoffrey Zweig, Michael Levit, Benot Dumoulin, Barlas Oguz, Shawn Chang |
| 2012 | ISIT | Pointwise lossy source coding theorem for sources with memory. | Barlas Oguz, Venkat Anantharam |
| 2012 | ITA | Long range dependent Markov chains with applications. | Barlas Oguz, Venkat Anantharam |
| 2010 | ISIT | Compressing a long range dependent renewal process. | Barlas Oguz, Venkat Anantharam |
| 2009 | ICASSP | Structured least squares with bounded data uncertainties. | Mert Pilanci, Orhan Arikan, Barlas Oguz, Mustafa . Pinar |