works on

From the 1 of 6 linked papers with an AI index.

activity
20242026
collaborators

6 papers

cs.SE2026

MADE: Belief-Driven Dual-Agent Coordination for Autonomous Model Deployment

Yicheng Liu, Bolin Zhang, Weiran Liu +4

LLM-based agents now have strong general capabilities. However, they still struggle with domain-specific tasks, motivating the integration of external tools to broaden their capabi…

cs.CL2026

Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion

Jinlan Liu, Zhiying Tu, Yongchao Xing +5

The paper introduces DuPLeR, a dual-path reasoning framework that combines large language model priors with multimodal signals to improve few-shot and zero-shot knowledge graph com…

cs.AI2026

An Effective Router for Vision-Language Model Selection

Can Wang, Shengwei Wang, Bolin Zhang +2

Vision-language models (VLMs) with varying performance and resource requirements are widely deployed, making it difficult for users to select the most appropriate one among numerou…

cs.AI2026

Evidence-Based Intelligent Diagnostic and Therapeutic Visualization System with Large Language Models: Multi-Turn Interaction and Multimodal Treatment Plan Generation

Yunhan Wang, Yuda Wang, Zhiying Tu +5

Aim: Existing AI-assisted traditional Chinese medicine diagnostic tools suffer from opaque reasoning processes, passive interaction, and limited treatment plan presentation. This s…

cs.CL2025

A Survey on Data Selection for LLM Instruction Tuning

Bolin Zhang, Jiahao Wang, Qianlong Du +3

Instruction tuning is a vital step of training large language models (LLMs), so how to enhance the effect of instruction tuning has received increased attention. Existing works ind…

cs.SE2024

A Framework for Effective Invocation Methods of Various LLM Services

Can Wang, Dianbo Sui, Bolin Zhang +4

Large Language Models (LLMs) have shown impressive abilities in solving various natural language processing tasks and are now widely offered as services. LLM services enable users…