Chen, Xilun

9 publications

ICLR 2026 Learning Facts at Scale with Active Reading Jessy Lin, Vincent-Pierre Berges, Xilun Chen, Wen-tau Yih, Gargi Ghosh, Barlas Oguz

ICLR 2026 SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

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

NeurIPS 2024 FLAME : Factuality-Aware Alignment for Large Language Models Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen

NeurIPS 2024 Nearest Neighbor Speculative Decoding for LLM Generation and Attribution Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin

ICLR 2024 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

CVPR 2023 Hierarchical Video-Moment Retrieval and Step-Captioning Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal

ICLR 2021 Learning Better Structured Representations Using Low-Rank Adaptive Label Smoothing Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad

AAAI 2018 IMS-DTM: Incremental Multi-Scale Dynamic Topic Models Xilun Chen, K. Selçuk Candan, Maria Luisa Sapino