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 ...
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 ...
IEEE

A Multiobjective Evolutionary Algorithm Based on Bipopulation With Uniform Sampling for Neural Architecture Search

Abstract: Neural architecture search (NAS) automates neural network design, improving efficiency over manual approaches. However, efficiently discovering high-performance neural network architectures ...