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20242026
most citedInfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning

2 citations · 2 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.MA2025

GAIR: GUI Automation via Information-Joint Reasoning and Group Reflection

Zishu Wei, Qixiang Ma, Xavier Hu +6

Building AI systems for GUI automation task has attracted remarkable research efforts, where MLLMs are leveraged for processing user requirements and give operations. However, GUI…

cs.CL2025

JELV: A Judge of Edit-Level Validity for Evaluation and Automated Reference Expansion in Grammatical Error Correction

Yuhao Zhan, Yuqing Zhang, Jing Yuan +5

Existing Grammatical Error Correction (GEC) systems suffer from limited reference diversity, leading to underestimated evaluation and restricted model generalization. To address th…

cs.AI2025

InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization

Yuhang Liu, Zeyu Liu, Shuanghe Zhu +10

The emergence of Multimodal Large Language Models (MLLMs) has propelled the development of autonomous agents that operate on Graphical User Interfaces (GUIs) using pure visual inpu…

cs.AI2025

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models

Zeyu Liu, Yuhang Liu, Guanghao Zhu +9

Recent advancements in large language models (LLMs) have demonstrated substantial progress in reasoning capabilities, such as DeepSeek-R1, which leverages rule-based reinforcement…

cs.AI2025

InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners

Yuhang Liu, Pengxiang Li, Congkai Xie +5

Multimodal Large Language Models (MLLMs) have powered Graphical User Interface (GUI) Agents, showing promise in automating tasks on computing devices. Recent works have begun explo…

cs.CL2025★ 2 cited

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning

Congkai Xie, Shuo Cai, Wenjun Wang +17

Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) have made significant advancements in reasoning capabilities. However, they still face challenges such as…

cs.AI2025

InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection

Yuhang Liu, Pengxiang Li, Zishu Wei +7

Graphical User Interface (GUI) Agents, powered by multimodal large language models (MLLMs), have shown great potential for task automation on computing devices such as computers an…