Xilun Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
13
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs? | 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 | ACL | 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 |
| 2025 | NAACL | Extracting and Understanding the Superficial Knowledge in Alignment. | Runjin Chen, Gabriel J. Perin, Xuxi Chen, Xilun Chen, Yan Han, Nina S. T. Hirata, Junyuan Hong, Bhavya Kailkhura |
| 2025 | WACV | Scene-LLM: Extending Language Model for 3D Visual Reasoning. | Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong |
| 2024 | EACL | Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. | Mingda Chen, Xilun Chen, Wen-tau Yih |
| 2024 | ICLR | RA-DIT: Retrieval-Augmented Dual Instruction Tuning. | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | Task-aware Retrieval with Instructions. | Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih |
| 2023 | ACL | 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 |
| 2023 | ACL | Nonparametric Masked Language Modeling. | Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2023 | CVPR | Hierarchical Video-Moment Retrieval and Step-Captioning. | Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal |
| 2023 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | NAACL | 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 |
| 2022 | NAACL | 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 |
| 2022 | NAACL | Domain-matched Pre-training Tasks for Dense Retrieval. | Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad |
| 2022 | NAACL | 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 |
| 2021 | EMNLP | Muppet: Massive Multi-task Representations with Pre-Finetuning. | Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta |
| 2021 | ICLR | Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing. | Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad |
| 2020 | EMNLP | Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. | Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta |
| 2019 | ACL | Multi-Source Cross-Lingual Model Transfer: Learning What to Share. | Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie |
| 2018 | AAAI | IMS-DTM: Incremental Multi-Scale Dynamic Topic Models. | Xilun Chen, K. Seluk Candan, Maria Luisa Sapino |
| 2018 | EMNLP | Unsupervised Multilingual Word Embeddings. | Xilun Chen, Claire Cardie |
| 2018 | NAACL | Multinomial Adversarial Networks for Multi-Domain Text Classification. | Xilun Chen, Claire Cardie |
| 2017 | CoNLL | Combining Global Models for Parsing Universal Dependencies. | Tianze Shi, Felix G. Wu, Xilun Chen, Yao Cheng |
| 2017 | EDBT | SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles. | Silvestro Roberto Poccia, Maria Luisa Sapino, Sicong Liu, Xilun Chen, Yash Garg, Shengyu Huang, Jung Hyun Kim, Xinsheng Li, Parth Nagarkar, K. Seluk Candan |
| 2017 | ICDAR | A Rectangle Mining Method for Understanding the Semantics of Financial Tables. | Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen |
| 2015 | CIKM | KSGM: Keynode-driven Scalable Graph Matching. | Xilun Chen, K. Seluk Candan, Maria Luisa Sapino, Paulo Shakarian |
| 2014 | CIKM | GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams. | Xilun Chen, K. Seluk Candan |
| 2014 | KDD | LWI-SVD: low-rank, windowed, incremental singular value decompositions on time-evolving data sets. | Xilun Chen, K. Seluk Candan |
| 2013 | EDBT | Hive open research network platform. | Jung Hyun Kim, Xilun Chen, K. Seluk Candan, Maria Luisa Sapino |
| 2013 | EMNLP | Multi-Domain Adaptation for SMT Using Multi-Task Learning. | Lei Cui, Xilun Chen, Dongdong Zhang, Shujie Liu, Mu Li, Ming Zhou |