Pu, Yewen

21 publications

ICLR 2025 Combining Induction and Transduction for Abstract Reasoning Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, Kevin Ellis

AAAI 2025 InverseCoder: Self-Improving Instruction-Tuned Code LLMs with Inverse-Instruct Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Yewen Pu, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Dawei Yin, Xing Hu, Yunji Chen

ICML 2024 Amortizing Pragmatic Program Synthesis with Rankings Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena Glassman, Daniel Fried

ECCV 2024 CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches Sifan Wu, Amir Hosein Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D.D. Willis, Bang Liu

ICLR 2024 Generating Pragmatic Examples to Train Neural Program Synthesizers Saujas Vaduguru, Daniel Fried, Yewen Pu

ICLR 2024 Hypothesis Search: Inductive Reasoning with Language Models Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah Goodman

NeurIPS 2023 ANPL: Towards Natural Programming with Interactive Decomposition Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen

ICMLW 2023 Building Community Driven Libraries of Natural Programs Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins, Joshua B. Tenenbaum, Armando Solar-Lezama

NeurIPS 2023 DiffVL: Scaling up Soft Body Manipulation Using Vision-Language Driven Differentiable Physics Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan

NeurIPS 2022 Communicating Natural Programs to Humans and Machines Sam Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle Ecanow, Maxwell Nye, Michael Tessler, Josh Tenenbaum

CVPRW 2021 Engineering Sketch Generation for Computer-Aided Design Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu

NeurIPS 2021 Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang, Jeevana Priya Inala, Osbert Bastani, Yewen Pu, Armando Solar-Lezama, Martin Rinard

ICLR 2021 Representing Partial Programs with Blended Abstract Semantics Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama

NeurIPS 2020 Neurosymbolic Transformers for Multi-Agent Communication Jeevana Priya Inala, Yichen Yang, James Paulos, Yewen Pu, Osbert Bastani, Vijay Kumar, Martin Rinard, Armando Solar-Lezama

NeurIPS 2020 Program Synthesis with Pragmatic Communication Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama

NeurIPSW 2020 Representing Partial Programs with Blended Abstract Semantics Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama

NeurIPS 2019 Compiler Auto-Vectorization with Imitation Learning Charith Mendis, Cambridge Yang, Yewen Pu, Dr.Saman Amarasinghe, Michael Carbin

NeurIPS 2019 Write, Execute, Assess: Program Synthesis with a REPL Kevin Ellis, Maxwell Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama

ICML 2018 Selecting Representative Examples for Program Synthesis Yewen Pu, Zachery Miranda, Armando Solar-Lezama, Leslie Kaelbling

NeurIPS 2018 Verifiable Reinforcement Learning via Policy Extraction Osbert Bastani, Yewen Pu, Armando Solar-Lezama

UAI 2017 Learning to Acquire Information Yewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama