activity
20242026
most citedLightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution

31 citations · 31 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Skill-Guided Continuation Distillation for GUI Agents

Zhimin Fan, Hongwei Yu, Yeqing Shen +9

Improving GUI agents typically relies on behavior cloning on expert trajectories. However, as the current policy deviates from the expert policy, it inevitably encounters policy-in…

cs.CL2026

WebChallenger: A Reliable and Efficient Generalist Web Agent

Jayoo Hwang, Xiaowen Zhang, Vedant Padwal

Autonomous web navigation remains challenging for LLM agents, and the strongest generalist systems rely on proprietary reasoning models whose inference cost is prohibitive for the…

cs.AI2026

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling

Xiaochen Zhao, Kaikai Wang, Xiaowen Zhang +2

Large language model (LLM) agents demonstrate strong performance in short-text contexts but often underperform in extended dialogues due to inefficient memory management. Existing…

cs.CV2026

AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process

Xintong Zhang, Xiaowen Zhang, Jingrong Wu +8

Adaptive multimodal reasoning has emerged as a promising frontier in Vision-Language Models (VLMs), aiming to dynamically modulate between tool-augmented visual reasoning and text…

cs.CV2025

Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs

Xintong Zhang, Zhi Gao, Bofei Zhang +8

Vision language models (VLMs) have achieved impressive performance across a variety of computer vision tasks. However, the multimodal reasoning capability has not been fully explor…

cs.HC202431 cited

LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution

Yuheng Zhao, Junjie Wang, Linbin Xiang +5

Visual analytics (VA) requires analysts to iteratively propose analysis tasks based on observations and execute tasks by creating visualizations and interactive exploration to gain…