Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
IEEE

Automated Identification of Adolescent Stressors Using a Python-Based Quantitative Content Analysis Algorithm

Abstract: This study proposes an automated quantitative content analysis algorithm, implemented in Python, to optimize the item generation process of adolescent stressor measurement tools and to ...
Scientific Research Publishing

A Study on Consumer Preferences for Electric Vehicle Charging and Battery Swapping Based on User-Generated Content Analysis ()

With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two ...