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Hi there, I'm Zhaorun Personal Website 👋

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🏖️ My Research Interests

  • Trustworthy deployment and safe interactions with large foundation models and agents from both a theoretical and empirical perspective.
  • enhancing LLM's trustworthiness via retrieval-augmented generation (RAG) and robustness certificates for hallucination, alignment, jailbreaks and privacy.

GitHub stats Language Stats

BillChan226's Projects

cav-intelligence icon cav-intelligence

This repository contains the algorithms implementation for vehicles scheduling, dispatching and planning in complicated scenarios such as intersection, junction etc. Currently we are developing learnable driving policies module via inverse reinforcement learning algorithms.

cs520-fall23 icon cs520-fall23

This repository is for backups for Professor David Gleich's course CS520 in Fall 2023 at Purdue.

halc icon halc

[ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"

lfd-for-on-policy-ac icon lfd-for-on-policy-ac

a learn-from-demonstration framework for on-policy actor-critic reinforcement learning algorithms

poar-srl-4-robot icon poar-srl-4-robot

The implementation for the integrated SRL-RL algorithm POAR as well as the simulator for environments

pottery-fragments-matching icon pottery-fragments-matching

applying both traditional and heuristics methods to pottery relics restoration (fragments matching, 3D model alignment)

rl_plane_strategy icon rl_plane_strategy

established for the data normalization and reinforcement learning training scheme to train an agent in DCS world

robotxhuman icon robotxhuman

Applying IRL algorithms to learn robot arm motion planning from human demonstration

saferlzoo icon saferlzoo

SafeRLZoo, a standardized toolkit with over 12 SOTA model-free safe RL algorithms based on Spinningup and benchmark safety-critical tasks

ss-rlhf icon ss-rlhf

Train transformer language models with reinforcement learning.

visualization-project-for-greyout icon visualization-project-for-greyout

This project mainly develops a visualization platform aiming to process and present the medical data of Greyout/Redout to analyze this symptom and its causes both qualitatively and quantitatively.

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