4 papers
PushupBench: Your VLM is not good at counting pushups
Shengzhi Li, Jiarun Chen, Karun Sharma +2
Large vision-language models (VLMs) can recognize \textit{what} happens in video but fail to count \textit{how many} times. We introduce \textbf{PushupBench}, 446 long-form clips (…
Behavioral Consistency and Transparency Analysis on Large Language Model API Gateways
Guanjie Lin, Yinxin Wan, Shichao Pei +3
Third-party Large Language Model (LLM) API gateways are rapidly emerging as unified access points to models offered by multiple vendors. However, the internal routing, caching, and…
Your LLM Agent Can Leak Your Data: Data Exfiltration via Backdoored Tool Use
Wuyang Zhang, Shichao Pei
Tool-use large language model (LLM) agents are increasingly deployed to support sensitive workflows, relying on tool calls for retrieval, external API access, and session memory ma…
Abstract2Appendix: Academic Reviews Enhance LLM Long-Context Capabilities
Shengzhi Li, Kittipat Kampa, Rongyu Lin +2
Large language models (LLMs) have shown remarkable performance across various tasks, yet their ability to handle long-context reading remains challenging. This study explores the e…