Structured least squares with bounded data uncertainties. - Mert Pilanci; Orhan Arikan; Barlas Oguz; Mustafa Ç. Pinar (ICASSP, 2009)

Compressing a long range dependent renewal process. - Barlas Oguz; Venkat Anantharam (ISIT, 2010)

Stable, scalable, decentralized P2P file sharing with non-altruistic peers - Barlas Oguz; Venkat Anantharam; Ilkka Norros (CoRR, 2011)

Pointwise lossy source coding theorem for sources with memory. - Barlas Oguz; Venkat Anantharam (ISIT, 2012)

Long range dependent Markov chains with applications. - Barlas Oguz; Venkat Anantharam (ITA, 2012)

Hurst Index of Functions of Long-Range-Dependent Markov Chains. - Barlas Oguz; Venkat Anantharam (J. Appl. Probab., 2012)

Accelerating recurrent neural network training via two stage classes and parallelization. - Zhiheng Huang; Geoffrey Zweig; Michael Levit; Benoît Dumoulin; Barlas Oguz; Shawn Chang (ASRU, 2013)

Discriminative training of context-dependent language model scaling factors and interpolation weights. - Shuangyu Chang; Abhik Lahiri; Issac Alphonso; Barlas Oguz; Michael Levit; Benoît Dumoulin (ASRU, 2015)

Stable Distributed P2P Protocols Based on Random Peer Sampling. - Barlas Oguz; Venkat Anantharam; Ilkka Norros (IEEE/ACM Trans. Netw., 2015)

Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features. - Barlas Oguz; Issac Alphonso; Shuangyu Chang (INTERSPEECH, 2016)

Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification. - Katherine Yu; Haoran Li; Barlas Oguz (Rep4NLP@ACL, 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)

Bridging the domain gap in cross-lingual document classification. - Guokun Lai; Barlas Oguz; Yiming Yang; Veselin Stoyanov (CoRR, 2019)

MLQA: Evaluating Cross-lingual Extractive Question Answering. - Patrick Lewis 001; Barlas Oguz; Ruty Rinott; Sebastian Riedel 001; Holger Schwenk (ACL, 2020)

Dense Passage Retrieval for Open-Domain Question Answering. - Vladimir Karpukhin; Barlas Oguz; Sewon Min; Patrick Lewis 001; Ledell Wu; Sergey Edunov; Danqi Chen 001; Wen-tau Yih (EMNLP (1), 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Dense Passage Retrieval for Open-Domain Question Answering. - Vladimir Karpukhin; Barlas Oguz; Sewon Min; Ledell Wu; Sergey Edunov; Danqi Chen 001; Wen-tau Yih (CoRR, 2020)

Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. - Barlas Oguz; Xilun Chen 002; Vladimir Karpukhin; Stan Peshterliev; Dmytro Okhonko; Michael Sejr Schlichtkrull; Sonal Gupta; Yashar Mehdad; Scott Yih (CoRR, 2020)

Multi-Task Retrieval for Knowledge-Intensive Tasks. - Jean Maillard; Vladimir Karpukhin; Fabio Petroni; Wen-tau Yih; Barlas Oguz; Veselin Stoyanov; Gargi Ghosh (ACL/IJCNLP (1), 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 001 (ACL/IJCNLP (1), 2021)

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. - Wenhan Xiong; Xiang Lorraine Li; Srini Iyer 001; Jingfei Du; Patrick Lewis 001; William Yang Wang; Yashar Mehdad; Scott Yih; Sebastian Riedel 001; Douwe Kiela; Barlas Oguz (ICLR, 2021)

Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering. - Stan Peshterliev; Barlas Oguz; Debojeet Chatterjee; Hakan Inan; Vikas Bhardwaj (CoRR, 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 Lewis 001; Barlas Oguz; Edouard Grave; Wen-tau Yih; Sebastian Riedel 001 (CoRR, 2021)

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? - Xilun Chen 002; Kushal Lakhotia; Barlas Oguz; Anchit Gupta; Patrick S. H. Lewis; Stan Peshterliev; Yashar Mehdad; Sonal Gupta; Wen-tau Yih (EMNLP (Findings), 2022)

Bridging the Training-Inference Gap for Dense Phrase Retrieval. - Gyuwan Kim; Jinhyuk Lee; Barlas Oguz; Wenhan Xiong; Yizhe Zhang 002; Yashar Mehdad; William Yang Wang (EMNLP (Findings), 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 002 (NAACL-HLT (Findings), 2022)

Boosted Dense Retriever. - Patrick Lewis 001; Barlas Oguz; Wenhan Xiong; Fabio Petroni; Scott Yih; Sebastian Riedel 001 (NAACL-HLT, 2022)

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. - Barlas Oguz; Xilun Chen 002; Vladimir Karpukhin; Stan Peshterliev; Dmytro Okhonko; Michael Sejr Schlichtkrull; Sonal Gupta; Yashar Mehdad; Scott Yih (NAACL-HLT (Findings), 2022)

Domain-matched Pre-training Tasks for Dense Retrieval. - Barlas Oguz; Kushal Lakhotia; Anchit Gupta; Patrick Lewis 001; Vladimir Karpukhin; Aleksandra Piktus; Xilun Chen 002; Sebastian Riedel 001; Scott Yih; Sonal Gupta; Yashar Mehdad (NAACL-HLT (Findings), 2022)

Simple Local Attentions Remain Competitive for Long-Context Tasks. - Wenhan Xiong; Barlas Oguz; Anchit Gupta; Xilun Chen 002; Diana Liskovich; Omer Levy; Scott Yih; Yashar Mehdad (NAACL-HLT, 2022)

BiT: Robustly Binarized Multi-distilled Transformer. - Zechun Liu; Barlas Oguz; Aasish Pappu; Lin Xiao; Scott Yih; Meng Li 004; Raghuraman Krishnamoorthi; Yashar Mehdad (NeurIPS, 2022)

A Study on the Efficiency and Generalization of Light Hybrid Retrievers. - Man Luo 003; Shashank Jain; Anchit Gupta; Arash Einolghozati; Barlas Oguz; Debojeet Chatterjee; Xilun Chen 002; Chitta Baral; Peyman Heidari (ACL (2), 2023)

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. - Minghan Li 002; Sheng-Chieh Lin; Barlas Oguz; Asish Ghoshal; Jimmy Lin; Yashar Mehdad; Wen-tau Yih; Xilun Chen 002 (ACL (1), 2023)

Binary and Ternary Natural Language Generation. - Zechun Liu; Barlas Oguz; Aasish Pappu; Yangyang Shi; Raghuraman Krishnamoorthi (ACL (1), 2023)

Hierarchical Video-Moment Retrieval and Step-Captioning. - Abhay Zala; Jaemin Cho 001; Satwik Kottur; Xilun Chen 002; Barlas Oguz; Yashar Mehdad; Mohit Bansal (CVPR, 2023)

Text-guided 3D Human Generation from 2D Collections. - Tsu-Jui Fu; Wenhan Xiong; Yixin Nie; Jingyu Liu; Barlas Oguz; William Wang (EMNLP (Findings), 2023)

How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. - Sheng-Chieh Lin; Akari Asai; Minghan Li 002; Barlas Oguz; Jimmy Lin; Yashar Mehdad; Wen-tau Yih; Xilun Chen 002 (EMNLP (Findings), 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)

3DGen: Triplane Latent Diffusion for Textured Mesh Generation. - Anchit Gupta; Wenhan Xiong; Yixin Nie; Ian Jones; Barlas Oguz (CoRR, 2023)

VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation. - Xilun Chen 002; Lili Yu; Wenhan Xiong; Barlas Oguz; Yashar Mehdad; Wen-tau Yih (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)

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)

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 004; Aasish Pappu; Barlas Oguz; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Raghuraman Krishnamoorthi; et al. (ACL (Findings), 2024)

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. - Zechun Liu; Barlas Oguz; Changsheng Zhao 002; Ernie Chang; Pierre Stock; Yashar Mehdad; Yangyang Shi; Raghuraman Krishnamoorthi; Vikas Chandra (ACL (Findings), 2024)

Jointly Training Large Autoregressive Multimodal Models. - Emanuele Aiello; Lili Yu; Yixin Nie; Armen Aghajanyan; Barlas Oguz (ICLR, 2024)

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; et al. (NAACL-HLT, 2024)

FLAME : Factuality-Aware Alignment for Large Language Models. - Sheng-Chieh Lin; Luyu Gao; Barlas Oguz; Wenhan Xiong; Jimmy Lin; Scott Yih; Xilun Chen 002 (NeurIPS, 2024)

Memory Layers at Scale. - Vincent-Pierre Berges; Barlas Oguz; Daniel Haziza; Wen-tau Yih; Luke Zettlemoyer; Gargi Ghosh (CoRR, 2024)

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 002 (ACL (1), 2025)

Post-training an LLM for RAG? Train on Self-Generated Demonstrations. - Matthew Finlayson; Ilia Kulikov; Daniel M. Bikel; Barlas Oguz; Xilun Chen 002; Aasish Pappu (CoRR, 2025)

Learning to Reason for Factuality. - Xilun Chen 002; Ilia Kulikov; Vincent-Pierre Berges; Barlas Oguz; Rulin Shao; Gargi Ghosh; Jason Weston; Wen-tau Yih (CoRR, 2025)

Learning Facts at Scale with Active Reading. - Jessy Lin; Vincent-Pierre Berges; Xilun Chen 002; Wen-Tau Yih; Gargi Ghosh; Barlas Oguz (CoRR, 2025)