Multi-Domain Adaptation for SMT Using Multi-Task Learning. - Lei Cui 001; Xilun Chen 002; Dongdong Zhang 001; Shujie Liu 001; Mu Li 001; Ming Zhou 001 (EMNLP, 2013)

Price of Anarchy of Innovation Diffusion in Social Networks. - Xilun Chen 002; Chenxia Wu (CoRR, 2014)

Cornell Belief and Sentiment System at TAC 2016. - Vlad Niculae; Kai Sun 006; Xilun Chen 002; Yao Cheng; Xinya Du; Esin Durmus; Arzoo Katiyar; Claire Cardie (TAC, 2016)

Combining Global Models for Parsing Universal Dependencies. - Tianze Shi; Felix G. Wu; Xilun Chen 002; Yao Cheng (CoNLL Shared Task (2), 2017)

A Rectangle Mining Method for Understanding the Semantics of Financial Tables. - Xilun Chen 002; Laura Chiticariu; Marina Danilevsky; Alexandre V. Evfimievski; Prithviraj Sen (ICDAR, 2017)

Unsupervised Multilingual Word Embeddings. - Xilun Chen 002; Claire Cardie (EMNLP, 2018)

Multinomial Adversarial Networks for Multi-Domain Text Classification. - Xilun Chen 002; Claire Cardie (NAACL-HLT, 2018)

Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification. - Xilun Chen 002; Yu Sun 020; Ben Athiwaratkun; Claire Cardie; Kilian Q. Weinberger (Trans. Assoc. Comput. Linguistics, 2018)

Multi-Source Cross-Lingual Model Transfer: Learning What to Share. - Xilun Chen 002; Ahmed Hassan Awadallah; Hany Hassan; Wei Wang 238; Claire Cardie (ACL (1), 2019)

Learning Deep Representations for Low-Resource Cross-Lingual Natural Language Processing. - Xilun Chen 002 (2019)

Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. - Xilun Chen 002; Asish Ghoshal; Yashar Mehdad; Luke Zettlemoyer; Sonal Gupta (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)

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)

Muppet: Massive Multi-task Representations with Pre-Finetuning. - Armen Aghajanyan; Anchit Gupta; Akshat Shrivastava; Xilun Chen 002; Luke Zettlemoyer; Sonal Gupta (EMNLP (1), 2021)

Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing. - Asish Ghoshal; Xilun Chen 002; Sonal Gupta; Luke Zettlemoyer; Yashar Mehdad (ICLR, 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)

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)

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)

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)

Task-aware Retrieval with Instructions. - Akari Asai; Timo Schick; Patrick Lewis 001; Xilun Chen 002; Gautier Izacard; Sebastian Riedel 001; Hannaneh Hajishirzi; Wen-tau Yih (ACL (Findings), 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)

Nonparametric Masked Language Modeling. - Sewon Min; Weijia Shi; Mike Lewis; Xilun Chen 002; Wen-tau Yih; Hannaneh Hajishirzi; Luke Zettlemoyer (ACL (Findings), 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)

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)

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)

Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis. - Mingda Chen; Xilun Chen 002; Wen-tau Yih (CoRR, 2023)

Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. - Mingda Chen; Xilun Chen 002; Wen-tau Yih (EACL (1), 2024)

RA-DIT: Retrieval-Augmented Dual Instruction Tuning. - Xi Victoria Lin; Xilun Chen 002; Mingda Chen; Weijia Shi; Maria Lomeli; Richard James 001; Pedro Rodriguez 001; Jacob Kahn; Gergely Szilvasy; Mike Lewis; Luke Zettlemoyer; Wen-tau Yih (ICLR, 2024)

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. - Minghan Li 002; Xilun Chen 002; Ari Holtzman; Beidi Chen; Jimmy Lin; Scott Yih; Victoria Lin 002 (NeurIPS, 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)

Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning. - Rao Fu; Jingyu Liu; Xilun Chen 002; Yixin Nie; Wenhan Xiong (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)

Scene-LLM: Extending Language Model for 3D Visual Reasoning. - Rao Fu; Jingyu Liu; Xilun Chen 002; Yixin Nie; Wenhan Xiong (WACV, 2025)

FACTORY: A Challenging Human-Verified Prompt Set for Long-Form Factuality. - Mingda Chen; Yang Li; Xilun Chen 002; Adina Williams; Gargi Ghosh; Scott Yih (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)