Scholar
Yilun Hao
Google Scholar ID: RjQF17YAAAAJ
Massachusetts Institute of Technology
Robotics
Large Language Models
Machine Learning
Planning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
275
H-index
9
i10-index
9
Publications
17
Co-authors
16
list available
Contact
Email
yilunhao@mit.edu
CV
Open ↗
GitHub
Open ↗
LinkedIn
Open ↗
Publications
8 items
Evaluating Modern Large Language Models on Low-Resource and Morphologically Rich Languages:A Cross-Lingual Benchmark Across Cantonese, Japanese, and Turkish
2025
Cited
0
Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
2025
Cited
0
Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systems
2025
Cited
0
R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning
2025
Cited
0
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation
2025
Cited
0
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
2025
Cited
0
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming
arXiv.org · 2024
Cited
0
Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools
2024
Cited
4
Resume (English only)
Academic Achievements
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance, ICML 2025
Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming, ICLR 2025
Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools, NAACL Main 2025 (Oral, Top 8%)
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment, EMNLP Main 2024 (Oral, Top 3%)
Gesture-Informed Robot Assistance via Foundation Model, CoRL 2023
NOIR: Neural Signal Operated Intelligent Robot for Everyday Activities, CoRL 2023
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations, IROS 2023
A Dual Representation Framework for Robot Learning with Human Guidance, CoRL 2022
Weakly Supervised Correspondence Learning, ICRA 2022
Learning Feasibility to Imitate Demonstrators with Different Dynamics, CoRL 2021
Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline, Frontiers in Neuroscience, 2022
Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing, ICCD 2021
Multi-label HD Classification in 3D Flash, VLSI-SOC 2020
Background
Research interest: foundation models and robotics. Currently a second-year graduate student in the Department of Aeronautics and Astronautics at MIT.
Co-authors
16 total
Chuchu Fan
Associate Professor of Aeronautics and Astronautics at MIT
Yongchao Chen
Harvard University, Massachusetts Institute of Technology
Yang Zhang
MIT-IBM Watson AI Lab
Dorsa Sadigh
Stanford University
Tajana Rosing
Distinguished Professor, UCSD
Ruohan Zhang
Stanford University
Co-author 7
Jacob Arkin
Postdoctoral Associate, Massachusetts Institute of Technology
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up