2 papers
cs.CV2026
Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models
Zhipeng Ye, Jiaqi Huang, Feng Jiang +5
Multimodal Large Language Models (MLLMs) have demonstrated strong capabilities across a wide range of vision language tasks. However, when applied to large scale image classificati…
cs.IR2025
AdaptJobRec: Enhancing Conversational Career Recommendation through an LLM-Powered Agentic System
Qixin Wang, Dawei Wang, Kun Chen +11
In recent years, recommendation systems have evolved from providing a single list of recommendations to offering a comprehensive suite of topic focused services. To better accompli…