Kahneman-Tversky Optimization

ToolRec: Calibrated Preference Alignment for Query Recommendation in On-Device Assistants

arXiv:2606.08466v1 Announce Type: new Abstract: Large Language Models (LLMs) have significantly advanced generative query recommendation. However, existing alignment methods primarily focus on standard chatbot scenarios, falling short in on-device intelligent assistants where users predominantly expect the rapid invocation of system-level tools. Moreover, directly aligning LLMs with real-world click logs introduces severe noise due to varying user activity levels and the failure to emphasize...