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

2 citations · 2 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning

Zhitian Hou, Yuhang Liu, Pengkai Wang +8

Applying a valid medication-safety rule when its patient-specific conditions are not met can produce an incorrect decision. Existing medical evaluations largely use isolated and fi…

cs.AI2025

GUI-PRA: Process Reward Agent for GUI Tasks

Tao Xiong, Xavier Hu, Yurun Chen +6

Long-horizon GUI automation remains challenging due to error accumulation over extended interaction sequences. Process Reward Models (PRMs) provide dense step-level supervision for…

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.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…