3 papers
cs.LG2025
Instance-level Randomization: Toward More Stable LLM Evaluations
Yiyang Li, Yonghuang Wu, Ying Luo +5
Evaluations of large language models (LLMs) suffer from instability, where small changes of random factors such as few-shot examples can lead to drastic fluctuations of scores and…
cs.CR2024
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification
Zeqing Qin, Yiwei Wu, Lansheng Han
Large Language Models (LLMs) have shown great promise in vulnerability identification. As C/C++ comprises half of the Open-Source Software (OSS) vulnerabilities over the past decad…
cs.CV2023
3D-GPT: Procedural 3D Modeling with Large Language Models
Chunyi Sun, Junlin Han, Weijian Deng +3
In the pursuit of efficient automated content creation, procedural generation, leveraging modifiable parameters and rule-based systems, emerges as a promising approach. Nonetheless…