3 papers
cs.LG2025
Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning
Kai Qin, Jiaqi Wu, Jianxiang He +8
As Large Language Models (LLMs) demonstrate remarkable capabilities learned from vast corpora, concerns regarding data privacy and safety are receiving increasing attention. LLM un…
cs.AI2024
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation
Yizhe Li, Linrui Zhang, Xueqian Wang +2
Safety-critical traffic scenarios are of great practical relevance to evaluating the robustness of autonomous driving (AD) systems. Given that these long-tail events are extremely…
cs.RO2024
Range-SLAM: Ultra-Wideband-Based Smoke-Resistant Real-Time Localization and Mapping
Yi Liu, Zhuozhu Jian, Shengtao Zheng +4
This paper presents Range-SLAM, a real-time, lightweight SLAM system designed to address the challenges of localization and mapping in environments with smoke and other harsh condi…