Xilun Chen

65 papers A* 7A 2Journal 35Unranked 20
YearRankTypeTitle / Venue / Authors
2026 — conf
Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?
EACL (Volume 1: Long Papers)
Kai Sun, Yin Huang, Srishti Mehra, Mohammad Kachuee, Xilun Chen, Renjie Tao, Zhaojiang Lin, Andrea Jessee, Nirav Shah, Alex Betty, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
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
FACTORY: A Challenging Human-Verified Prompt Set for Long-Form Factuality.
CoRR
Mingda Chen, Yang Li, Xilun Chen, Adina Williams, Gargi Ghosh, Scott Yih
2025 J jnl
Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?
CoRR
Kai Sun, Yin Huang, Srishti Mehra, Mohammad Kachuee, Xilun Chen, Renjie Tao, Zhaojiang Lin, Andrea Jessee, Nirav Shah, Alex Betty, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
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 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
2025 J jnl
SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning.
CoRR
Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025 A conf
Scene-LLM: Extending Language Model for 3D Visual Reasoning.
WACV
Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong
2024 J jnl
An Introduction to Vision-Language Modeling.
CoRR
Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
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 — conf
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering.
EACL (1)
Mingda Chen, Xilun Chen, Wen-tau Yih
2024 A* conf
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution.
NeurIPS
Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Scott Yih, Victoria Lin
2024 J jnl
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution.
CoRR
Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin
2024 A* conf
RA-DIT: Retrieval-Augmented Dual Instruction Tuning.
ICLR
Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2024 J jnl
Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.
CoRR
Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong
2024 J jnl
Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models.
CoRR
Yi-Lin Tuan, Xilun Chen, Eric Michael Smith, Louis Martin, Soumya Batra, Asli Celikyilmaz, William Yang Wang, Daniel M. Bikel
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
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
Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis.
CoRR
Mingda Chen, Xilun Chen, Wen-tau Yih
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 — conf
Nonparametric Masked Language Modeling.
ACL (Findings)
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
2023 J jnl
RA-DIT: Retrieval-Augmented Dual Instruction Tuning.
CoRR
Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih
2023 — conf
Task-aware Retrieval with Instructions.
ACL (Findings)
Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
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 — 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 J jnl
Nonparametric Masked Language Modeling.
CoRR
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
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 J jnl
Task-aware Retrieval with Instructions.
CoRR
Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
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 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
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 A* conf
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing.
ICLR
Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad
2021 — conf
Muppet: Massive Multi-task Representations with Pre-Finetuning.
EMNLP (1)
Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta
2021 J jnl
Muppet: Massive Multi-task Representations with Pre-Finetuning.
CoRR
Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta
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
2020 — conf
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing.
EMNLP (1)
Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta
2020 J jnl
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing.
CoRR
Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta
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 — —
Learning Deep Representations for Low-Resource Cross-Lingual Natural Language Processing.
Xilun Chen
2019 — conf
Multi-Source Cross-Lingual Model Transfer: Learning What to Share.
ACL (1)
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie
2018 J jnl
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification.
Trans. Assoc. Comput. Linguistics
Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, Kilian Q. Weinberger
2018 J jnl
Multi-Source Cross-Lingual Model Transfer: Learning What to Share.
CoRR
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie
2018 — conf
Multinomial Adversarial Networks for Multi-Domain Text Classification.
NAACL-HLT
Xilun Chen, Claire Cardie
2018 J jnl
Multinomial Adversarial Networks for Multi-Domain Text Classification.
CoRR
Xilun Chen, Claire Cardie
2018 A* conf
Unsupervised Multilingual Word Embeddings.
EMNLP
Xilun Chen, Claire Cardie
2018 J jnl
Unsupervised Multilingual Word Embeddings.
CoRR
Xilun Chen, Claire Cardie
2017 A conf
A Rectangle Mining Method for Understanding the Semantics of Financial Tables.
ICDAR
Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen
2017 — conf
Combining Global Models for Parsing Universal Dependencies.
CoNLL Shared Task (2)
Tianze Shi, Felix G. Wu, Xilun Chen, Yao Cheng
2016 J jnl
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification.
CoRR
Xilun Chen, Ben Athiwaratkun, Yu Sun, Kilian Q. Weinberger, Claire Cardie
2016 — conf
Cornell Belief and Sentiment System at TAC 2016.
TAC
Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar, Claire Cardie
2014 J jnl
Price of Anarchy of Innovation Diffusion in Social Networks.
CoRR
Xilun Chen, Chenxia Wu
2013 A* conf
Multi-Domain Adaptation for SMT Using Multi-Task Learning.
EMNLP
Lei Cui, Xilun Chen, Dongdong Zhang, Shujie Liu, Mu Li, Ming Zhou