5 papers
Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code
Hengzhi Ye, Fengyuan Ran, Weiwei Xu +1
Large Language Models (LLMs) are increasingly changing how code is produced, but generated code still requires human review and validation before it can be adapted or integrated in…
EfficientPosterGen: Semantic-aware Efficient Poster Generation via Token Compression and Accurate Violation Detection
Wenxin Tang, Jingyu Xiao, Yanpei Gong +6
Automated academic poster generation aims to distill lengthy research papers into concise, visually coherent presentations. Existing Multimodal Large Language Models (MLLMs) based…
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
Shukai Gong, Yiyang Fu, Fengyuan Ran +2
We propose TPP-SD, a novel approach that accelerates Transformer temporal point process (TPP) sampling by adapting speculative decoding (SD) techniques from language models. By ide…
PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs
Xueluan Gong, Mingzhe Li, Yilin Zhang +5
Large Language Models (LLMs) have excelled in various tasks but are still vulnerable to jailbreaking attacks, where attackers create jailbreak prompts to mislead the model to produ…
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
Qingmei Wang, Yuxin Wu, Yujie Long +4
An event sequence generated by a temporal point process is often associated with a hidden and structured event branching process that captures the triggering relations between its…