3 papers
cs.AI2026
Getting the Parameters Right: A Difficulty-Graded Benchmark and Probe-Guided Training for LLM Tool Calls
Guoyao Yu, Xiaoqing Sun, Ziqi Huang +13
Large language model agents derive much of their capability from tool use. Existing research on tool use has largely focused on selecting the right tool and orchestrating the order…
cs.IR2024
Blockchain-based Federated Recommendation with Incentive Mechanism
Jianhai Chen, Yanlin Wu, Dazhong Rong +5
Nowadays, federated recommendation technology is rapidly evolving to help multiple organisations share data and train models while meeting user privacy, data security and governmen…
cs.CV2024
Clean-image Backdoor Attacks
Dazhong Rong, Guoyao Yu, Shuheng Shen +6
To gather a significant quantity of annotated training data for high-performance image classification models, numerous companies opt to enlist third-party providers to label their…