activity
20242026
most citedLarge Language Model Enhanced Text-to-SQL Generation: A Survey

6 citations · 6 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.CL2026

Harness-Search: Guiding Long-Horizon Search through Multi-Agent Coordination

Shanyong Wang, Zhenwen Ji, Lei Jin +7

Long-horizon search requires agents to gather evidence across multiple steps and synthesize it into well-supported answers. The recent agent harnesses provide a natural and promisi…

cs.CL2026

Momentum-Coupled Rubric Adaptation for Detailed Image Captioning

Zhenwen Ji, Lei Jin, Shanyong Wang +6

Detailed image captioning requires accurate and comprehensive descriptions of fine-grained visual content, yet caption quality spans factual accuracy, information coverage, and cla…

cs.DB2026

MemLens: A Value-Aware Memory Management System with Interactive Analytics for LLM-based Agents

Shuyue Wei, Chang Liu, Zimu Zhou +2

Recently, memory management has become a key infrastructure for LLM-based agents, as it directly affects long-horizon reasoning, personalized responses, and knowledge reuse. Howeve…

cs.AI2026

GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis

Shaoting Tan, Ning Liu, Yuntao Du +7

Sequential diagnosis requires balancing diagnostic accuracy against resource costs through iterative information gathering. Existing Large Language Model (LLM) approaches exhibit a…

cs.CV2026

Delineating Knowledge Boundaries for Honest Large Vision-Language Models

Junru Song, Yimeng Hu, Yijing Chen +4

Large Vision-Language Models (VLMs) have achieved remarkable multimodal performance yet remain prone to factual hallucinations, particularly in long-tail or specialized domains. Mo…

cs.AI2026

M3MAD-Bench: Multi-Dimensional Evaluation of Multi-Agent Debate Across Domains and Modalities

Ao Li, Jinghui Zhang, Luyu Li +10

As an agent-level reasoning and coordination paradigm, Multi-Agent Debate (MAD) orchestrates multiple agents through structured debate to improve answer quality and support complex…