collaborators
Showing cs.AIShow all

6 papers · 1 filter

cs.AI2026

ScienceArena: Benchmarking LLMs on Latest Scientific Olympiad Competitions

Guangxiang Zhao, Qilong Shi, Xusen Xiao +13

Benchmark saturation and data contamination increasingly obscure genuine scientific reasoning in frontier LLMs. We introduce \textsc{ScienceArena}, an olympiad-style benchmark from…

cs.AI2026

When Do Prompt-Side Agent Playbooks Transfer? Accuracy, Cost, and Runtime Shift in Agent Deployment

Weihong Lin, Lin Sun, Xiangzheng Zhang

Prompt-side playbooks can improve tool-using language agents without retraining, but their portability beyond the source setting is unclear. We study frozen playbook transfer under…

cs.AI2026

Dynamic Defense Profiling Enables Cognitive Jailbreak of Text-to-Image Models

Dongdong Yang, Deyue Zhang, Zhao Liu +5

Text-to-Image (T2I) generative models have achieved remarkable progress in synthesizing high-quality visual content, yet they remain vulnerable to adversarial misuse, particularly…

cs.AI2026

ElephantAgent: Contextual State Continuity in Agentic Systems

Jiankai Jin, Xiangzheng Zhang, Zhao Liu +4

Agentic systems enhance their capabilities by invoking external tools and maintaining persistent memory. However, these external dependencies introduce novel attack surfaces. Recen…

cs.AI2026

Harness-Bench: Evaluating Agent Harnesses across Models and Realistic Workflows

Yilun Yao, Xinyu Tan, Chao-Hsuan Liu +10

LLM agents are increasingly deployed as executable systems that use tools, modify workspaces, and produce concrete artifacts. In such workflows, performance depends not only on the…

cs.AI2026

MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection

Zhewen Tan, Yilun Yao, Huiyan Jin +9

Large language model agents increasingly rely on persistent memory to store past interactions, retrieve relevant demonstrations, and improve long-horizon task execution. However, t…