1 citations · 2 across the 6 of their papers we have counts for
6 papers
A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform
Chengkai Xu, Yiming Cui, Jiaqi Liu +7
Autonomous driving is a cornerstone technology for the future of intelligent transportation, where end-to-end learning has emerged as a transformative paradigm that directly maps m…
NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion
Chuheng Chen, Xiaofei Zhou, Geyuan Zhang +2
Low-Rank Adaptation (LoRA) fusion enables the composition of subject and style representations for controllable generation without retraining. However, existing approaches primaril…
LaRe: Latent Refocusing for Multimodal Reasoning
Jizheng Ma, Xiaofei Zhou, Geyuan Zhang +2
Chain of Thought (CoT) reasoning enhances logical performance by decomposing complex tasks, yet its multimodal extension faces a trade-off. The prevailing Thinking with Images para…
AICrypto: Evaluating Cryptography Capabilities of Large Language Models
Yu Wang, Yijian Liu, Liheng Ji +11
We build \textbf{AICrypto}, a comprehensive benchmark designed to evaluate the cryptography capabilities of large language models (LLMs). The benchmark comprises 135 multiple-choic…
Jailbreak Large Vision-Language Models Through Multi-Modal Linkage
Yu Wang, Xiaofei Zhou, Yichen Wang +2
With the significant advancement of Large Vision-Language Models (VLMs), concerns about their potential misuse and abuse have grown rapidly. Previous studies have highlighted VLMs'…
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformation
Geyuan Zhang, Xiaofei Zhou, Chuheng Chen
Fine-tuning pre-trained language models for downstream tasks has achieved impressive results in NLP. However, fine-tuning all parameters becomes impractical due to the rapidly incr…