Xilun Chen

According to our database, Xilun Chen authored at least 31 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong

CoRR, 2024

Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering.

Mingda Chen, Xilun Chen, Wen-tau Yih

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

RA-DIT: Retrieval-Augmented Dual Instruction Tuning.

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

CoRR, 2023

Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis.

Mingda Chen, Xilun Chen, Wen-tau Yih

CoRR, 2023

VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation.

Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih

CoRR, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Hierarchical Video-Moment Retrieval and Step-Captioning.

Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Nonparametric Masked Language Modeling.

Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Task-aware Retrieval with Instructions.

Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Domain-matched Pre-training Tasks for Dense Retrieval.

Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing.

Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad

Proceedings of the 9th International Conference on Learning Representations, 2021

Muppet: Massive Multi-task Representations with Pre-Finetuning.

Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.

Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

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

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing.

Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Learning Deep Representations for Low-Resource Cross-Lingual Natural Language Processing.

Xilun Chen

PhD thesis, 2019

Multi-Source Cross-Lingual Model Transfer: Learning What to Share.

Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification.

Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, Kilian Q. Weinberger

Trans. Assoc. Comput. Linguistics, 2018

Multinomial Adversarial Networks for Multi-Domain Text Classification.

Xilun Chen, Claire Cardie

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Unsupervised Multilingual Word Embeddings.

Xilun Chen, Claire Cardie

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

A Rectangle Mining Method for Understanding the Semantics of Financial Tables.

Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Combining Global Models for Parsing Universal Dependencies.

Tianze Shi, Felix G. Wu, Xilun Chen, Yao Cheng

Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2017

2016

Cornell Belief and Sentiment System at TAC 2016.

Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar, Claire Cardie

Proceedings of the 2016 Text Analysis Conference, 2016

2014

Price of Anarchy of Innovation Diffusion in Social Networks.

Xilun Chen, Chenxia Wu

CoRR, 2014

2013

Multi-Domain Adaptation for SMT Using Multi-Task Learning.

Lei Cui, Xilun Chen, Dongdong Zhang, Shujie Liu, Mu Li, Ming Zhou

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013