Yilun Hao

29 papers A* 4A 2C 2Misc 4Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation.
IROS
Yongchao Chen, Yilun Hao, Yang Zhang, Chuchu Fan
2025 J jnl
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation.
CoRR
Yongchao Chen, Yilun Hao, Yang Zhang, Chuchu Fan
2025 A* conf
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance.
ICML
Yongchao Chen, Yilun Hao, Yueying Liu, Yang Zhang, Chuchu Fan
2025 J jnl
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance.
CoRR
Yongchao Chen, Yilun Hao, Yueying Liu, Yang Zhang, Chuchu Fan
2025 J jnl
Evaluating Modern Large Language Models on Low-Resource and Morphologically Rich Languages:A Cross-Lingual Benchmark Across Cantonese, Japanese, and Turkish.
CoRR
Chengxuan Xia, Qianye Wu, Hongbin Guan, Sixuan Tian, Yilun Hao, Xiaoyu Wu
2025 — conf
Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools.
NAACL (Long Papers)
Yilun Hao, Yongchao Chen, Yang Zhang, Chuchu Fan
2025 J jnl
Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systems.
CoRR
Chengxuan Xia, Qianye Wu, Sixuan Tian, Yilun Hao
2025 A* conf
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming.
ICLR
Yilun Hao, Yang Zhang, Chuchu Fan
2025 J jnl
R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning.
CoRR
Yongchao Chen, Yueying Liu, Junwei Zhou, Yilun Hao, Jingquan Wang, Yang Zhang, Chuchu Fan
2025 J jnl
Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning.
CoRR
Yilun Hao, Yongchao Chen, Chuchu Fan, Yang Zhang
2024 J jnl
Large Language Models Can Plan Your Travels Rigorously with Formal Verification Tools.
CoRR
Yilun Hao, Yongchao Chen, Yang Zhang, Chuchu Fan
2024 A* conf
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling.
EMNLP
Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan
2024 J jnl
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment.
CoRR
Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan
2024 J jnl
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming.
CoRR
Yilun Hao, Yang Zhang, Chuchu Fan
2024 J jnl
Predicting Organic-Inorganic Halide Perovskite Photovoltaic Performance from Optical Properties of Constituent Films through Machine Learning.
CoRR
Ruiqi Zhang, Brandon Motes, Shaun Tan, Yongli Lu, Meng-Chen Shih, Yilun Hao, Karen Yang, Shreyas Srinivasan, Moungi G. Bawendi, Vladimir Bulovic
2023 Misc conf
Gesture-Informed Robot Assistance via Foundation Models.
CoRL
Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh
2023 J jnl
Gesture-Informed Robot Assistance via Foundation Models.
CoRR
Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh
2023 A conf
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations.
IROS
Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh
2023 Misc conf
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities.
CoRL
Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu
2023 J jnl
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities.
CoRR
Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu
2022 Misc conf
A Dual Representation Framework for Robot Learning with Human Guidance.
CoRL
Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu
2022 J jnl
Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Justin Morris, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing
2022 J jnl
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations.
CoRR
Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh
2022 A* conf
Weakly Supervised Correspondence Learning.
ICRA
Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh
2022 J jnl
Weakly Supervised Correspondence Learning.
CoRR
Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh
2021 Misc conf
Learning Feasibility to Imitate Demonstrators with Different Dynamics.
CoRL
Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh
2021 J jnl
Learning Feasibility to Imitate Demonstrators with Different Dynamics.
CoRR
Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh
2021 C conf
Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing.
ICCD
Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing
2020 C conf
Multi-label HD Classification in 3D Flash.
VLSI-SOC
Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing