Radev, Dragomir

7 publications

ICLR 2023 Binding Language Models in Symbolic Languages Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

ICML 2023 LEVER: Learning to Verify Language-to-Code Generation with Execution Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida Wang, Xi Victoria Lin

ICLR 2023 Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao

AAAI 2023 Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs Fang Wu, Dragomir Radev, Stan Z. Li

NeurIPS 2023 RealTime QA: What's the Answer Right Now? Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui

ICML 2023 Rethinking Explaining Graph Neural Networks via Non-Parametric Subgraph Matching Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li

ICLR 2021 GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir Radev, Richard Socher, Caiming Xiong