10 papers
MOA: A Profiling-Guided LLM Framework for Memory-Optimization Automation at Codebase Scale
Jiaxi Liang, Yuanxiang Shi, Zezhou Yang +1
Modern large-scale software systems often suffer from pervasive memory inefficiencies (e.g., bloat, churn), leading to excessive resource costs and performance degradation. Existin…
GMP: A Benchmark for Content Moderation under Co-occurring Violations and Dynamic Rules
Houde Dong, Yifei She, Kai Ye +3
Online content moderation is essential for maintaining a healthy digital environment, and reliance on AI for this task continues to grow. Consider a user comment using national ste…
XGuardian: Towards Explainable and Generalized AI Anti-Cheat on FPS Games
Jiayi Zhang, Chenxin Sun, Chenxiong Qian
Aim-assist cheats are the most prevalent and infamous form of cheating in First-Person Shooter (FPS) games, which help cheaters illegally reveal the opponent's location and auto-ai…
Bones of Contention: Exploring Query-Efficient Attacks against Skeleton Recognition Systems
Yuxin Cao, Kai Ye, Derui Wang +4
Skeleton action recognition models have secured more attention than video-based ones in various applications due to privacy preservation and lower storage requirements. Skeleton da…
CodeFuse-CommitEval: Towards Benchmarking LLM's Power on Commit Message and Code Change Inconsistency Detection
Qingyu Zhang, Puzhuo Liu, Peng Di +1
Version control relies on commit messages to convey the rationale for code changes, but these messages are often low quality and, more critically, inconsistent with their diffs-kno…
Identify As A Human Does: A Pathfinder of Next-Generation Anti-Cheat Framework for First-Person Shooter Games
Jiayi Zhang, Chenxin Sun, Yue Gu +4
The gaming industry has experienced substantial growth, but cheating in online games poses a significant threat to the integrity of the gaming experience. Cheating, particularly in…