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20232026
most citedLLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

10 citations · 13 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.CL2025

Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations

Chengzhi Liu, Yuzhe Yang, Kaiwen Zhou +5

The promotion of academic papers has become an important means of enhancing research visibility. However, existing automated methods struggle limited storytelling, insufficient aes…

cs.CL2025

Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models

Qianqi Yan, Yue Fan, Hongquan Li +5

Existing Multimodal Large Language Models (MLLMs) are predominantly trained and tested on consistent visual-textual inputs, leaving open the question of whether they can handle inc…

cs.CL2025★ 1 cited

GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration

Yue Fan, Handong Zhao, Ruiyi Zhang +3

Graphical User Interface (GUI) action grounding is a critical step in GUI automation that maps language instructions to actionable elements on GUI screens. Most recent works of GUI…

cs.CL2024★ 1 cited

Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding

Yue Fan, Lei Ding, Ching-Chen Kuo +6

Graphical User Interfaces (GUIs) are central to our interaction with digital devices and growing efforts have been made to build models for various GUI understanding tasks. However…

cs.CL2023★ 10 cited

LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Saaket Agashe, Yue Fan, Anthony Reyna +1

Large Language Models (LLMs) have demonstrated emergent common-sense reasoning and Theory of Mind (ToM) capabilities, making them promising candidates for developing coordination a…

cs.CL2023

R2H: Building Multimodal Navigation Helpers that Respond to Help Requests

Yue Fan, Jing Gu, Kaizhi Zheng +1

Intelligent navigation-helper agents are critical as they can navigate users in unknown areas through environmental awareness and conversational ability, serving as potential acces…