Xilun Chen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 45

Top Venues

CoRR

NAACL-HLT (Findings)

NAACL-HLT

CIKM

Arizona State University, Tempe, USA (PHD)

Education History

Arizona State University, Tempe, USA

PHD

Publications

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
An Introduction to Vision-Language Modeling. CoRR (2024)
Yi-Lin Tuan, Xilun Chen, Eric Michael Smith, Louis Martin, Soumya Batra, Asli Celikyilmaz, William Yang Wang, Daniel M. Bikel
Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models. CoRR (2024)
Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation. CoRR (2023)
Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal
Hierarchical Video-Moment Retrieval and Step-Captioning. CoRR (2023)
Mingda Chen, Xilun Chen, Wen-tau Yih
Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis. CoRR (2023)
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval. CoRR (2023)
Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP (Findings) (2022)
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
Nonparametric Masked Language Modeling. CoRR (2022)
Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. CoRR (2022)
Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. CoRR (2022)
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad
Simple Local Attentions Remain Competitive for Long-Context Tasks. NAACL-HLT (2022)
Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
Task-aware Retrieval with Instructions. CoRR (2022)
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. NAACL-HLT (Findings) (2022)
Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. NAACL-HLT (Findings) (2022)
Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad
Domain-matched Pre-training Tasks for Dense Retrieval. NAACL-HLT (Findings) (2022)
Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? CoRR (2021)
Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta
Muppet: Massive Multi-task Representations with Pre-Finetuning. EMNLP (1) (2021)
Hans Walter Behrens, K. Selçuk Candan, Xilun Chen, Yash Garg, Mao-Lin Li, Xinsheng Li, Sicong Liu, Maria Luisa Sapino, Md Shadab, Dalton Turner, Magesh Vijayakumaren
DataStorm: Coupled, Continuous Simulations for Complex Urban Environments. Trans. Data Sci. 2 (3) (2021)
Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad
Domain-matched Pre-training Tasks for Dense Retrieval. CoRR (2021)
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad
Simple Local Attentions Remain Competitive for Long-Context Tasks. CoRR (2021)
Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta
Muppet: Massive Multi-task Representations with Pre-Finetuning. CoRR (2021)
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 S. H. 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
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing. ICLR (2021)
Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Wen-tau Yih, Sonal Gupta, Xilun Chen
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. CoRR (2021)
Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. EMNLP (1) (2020)
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. CoRR (2020)
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 S. H. 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
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. CoRR (2020)
Xilun Chen, Logan Mathesen, Giulia Pedrielli, K. Selçuk Candan
Complicacy-Guided Parameter Space Sampling for Knowledge Discovery with Limited Simulation Budgets. ICBK (2019)
Giulia Pedrielli, K. Selçuk Candan, Xilun Chen, Logan Mathesen, Alireza Inanalouganji, Jie Xu, Chun-Hung Chen, Loo Hay Lee
Generalized Ordinal Learning Framework (GOLF) for Decision Making with Future Simulated Data. Asia Pac. J. Oper. Res. 36 (6) (2019)
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie
Multi-Source Cross-Lingual Model Transfer: Learning What to Share. ACL (1) (2019)
Xilun Chen, Claire Cardie
Unsupervised Multilingual Word Embeddings. CoRR (2018)
Xilun Chen, Claire Cardie
Unsupervised Multilingual Word Embeddings. EMNLP (2018)
Xilun Chen, Claire Cardie
Multinomial Adversarial Networks for Multi-Domain Text Classification. CoRR (2018)
Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, Kilian Q. Weinberger
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification. Trans. Assoc. Comput. Linguistics 6 (2018)
Hans Behrens, K. Selçuk Candan, Xilun Chen, Ashish Gadkari, Yash Garg, Mao-Lin Li
DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles. Proc. VLDB Endow. 11 (12) (2018)
Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino
IMS-DTM: Incremental Multi-Scale Dynamic Topic Models. AAAI (2018)
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie
Multi-Source Cross-Lingual Model Transfer: Learning What to Share. CoRR (2018)
Xilun Chen, Claire Cardie
Multinomial Adversarial Networks for Multi-Domain Text Classification. NAACL-HLT (2018)
Silvestro Roberto Poccia, Maria Luisa Sapino, Sicong Liu, Xilun Chen, Yash Garg, Shengyu Huang, Jung Hyun Kim, Xinsheng Li, Parth Nagarkar, K. Selçuk Candan
SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles. EDBT (2017)
Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen
A Rectangle Mining Method for Understanding the Semantics of Financial Tables. ICDAR (2017)
Tianze Shi, Felix G. Wu, Xilun Chen, Yao Cheng
Combining Global Models for Parsing Universal Dependencies. CoNLL Shared Task (2) (2017)
Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar, Claire Cardie
Cornell Belief and Sentiment System at TAC 2016. TAC (2016)
Xilun Chen, Ben Athiwaratkun, Yu Sun, Kilian Q. Weinberger, Claire Cardie
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification. CoRR (2016)
Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino, Paulo Shakarian
KSGM: Keynode-driven Scalable Graph Matching. CIKM (2015)
Xilun Chen, Chenxia Wu
Price of Anarchy of Innovation Diffusion in Social Networks. CoRR (2014)
Xilun Chen, K. Selçuk Candan
LWI-SVD: low-rank, windowed, incremental singular value decompositions on time-evolving data sets. KDD (2014)
Xilun Chen, K. Selçuk Candan
GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams. CIKM (2014)
Jung Hyun Kim, Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino
Hive open research network platform. EDBT (2013)
Lei Cui, Xilun Chen, Dongdong Zhang, Shujie Liu, Mu Li, Ming Zhou
Multi-Domain Adaptation for SMT Using Multi-Task Learning. EMNLP (2013)
Xilun Chen, Xia Hou, Ning Li
Teaching System Modeling Based on Topic Maps. CSEE (2) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xilun Chen