Yilun Hao

According to our database, Yilun Hao authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systems.

Chengxuan Xia, Qianye Wu, Sixuan Tian, Yilun Hao

CoRR, July, 2025

R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning.

Yongchao Chen, Yueying Liu, Junwei Zhou, Yilun Hao, Jingquan Wang, Yang Zhang, Chuchu Fan

CoRR, May, 2025

Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation.

Yongchao Chen, Yilun Hao, Yang Zhang, Chuchu Fan

CoRR, March, 2025

CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance.

Yongchao Chen, Yilun Hao, Yueying Liu, Yang Zhang, Chuchu Fan

CoRR, February, 2025

Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools.

Yilun Hao, Yongchao Chen, Yang Zhang, Chuchu Fan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming.

Yilun Hao, Yang Zhang, Chuchu Fan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Predicting Organic-Inorganic Halide Perovskite Photovoltaic Performance from Optical Properties of Constituent Films through Machine Learning.

Ruiqi Zhang, Brandon Motes, Shaun Tan, Yongli Lu, Meng-Chen Shih, Yilun Hao, Karen Yang, Shreyas Srinivasan, Moungi G. Bawendi, Vladimir Bulovic

CoRR, 2024

Large Language Models Can Plan Your Travels Rigorously with Formal Verification Tools.

Yilun Hao, Yongchao Chen, Yang Zhang, Chuchu Fan

CoRR, 2024

PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment.

Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan

CoRR, 2024

PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling.

Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations.

Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh

IROS, 2023

NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities.

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

Proceedings of the Conference on Robot Learning, 2023

Gesture-Informed Robot Assistance via Foundation Models.

Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 2023

2022

Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing.

Justin Morris, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Weakly Supervised Correspondence Learning.

Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Dual Representation Framework for Robot Learning with Human Guidance.

Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2022

2021

Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing.

Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

Learning Feasibility to Imitate Demonstrators with Different Dynamics.

Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Multi-label HD Classification in 3D Flash.

Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing

Proceedings of the 28th IFIP/IEEE International Conference on Very Large Scale Integration, 2020