activity
20232026
most citedA Survey on Image-text Multimodal Models

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

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7 papers · 1 filter

cs.AI2026

PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control

Jingxuan Wei, Xi Bai, Shan Liu +8

Large vision-language models have significantly advanced GUI agents, enabling executable interaction across web, mobile, and desktop interfaces. Yet these gains largely rely on a f…

cs.AI2025

GGBench: A Geometric Generative Reasoning Benchmark for Unified Multimodal Models

Jingxuan Wei, Caijun Jia, Xi Bai +7

The advent of Unified Multimodal Models (UMMs) signals a paradigm shift in artificial intelligence, moving from passive perception to active, cross-modal generation. Despite their…

cs.AI2025

Geoint-R1: Formalizing Multimodal Geometric Reasoning with Dynamic Auxiliary Constructions

Jingxuan Wei, Caijun Jia, Qi Chen +6

Mathematical geometric reasoning is essential for scientific discovery and educational development, requiring precise logic and rigorous formal verification. While recent advances…

cs.AI2023★ 1 cited

Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory

Linzhuang Sun, Yao Dong, Nan Xu +3

The development of Large Language Models (LLMs) provides human-centered Artificial General Intelligence (AGI) with a glimmer of hope. Empathy serves as a key emotional attribute of…

cs.AI2023★ 5 cited

Brain-inspired Computing Based on Deep Learning for Human-computer Interaction: A Review

Bihui Yu, Sibo Zhang, Lili Zhou +3

The continuous development of artificial intelligence has a profound impact on biomedicine and other fields, providing new research ideas and technical methods. Brain-inspired comp…

cs.AI2023

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training

Cheng Tan, Jingxuan Wei, Zhangyang Gao +5

Multimodal reasoning is a challenging task that requires models to reason across multiple modalities to answer questions. Existing approaches have made progress by incorporating la…

cs.AI2023★ 1 cited

Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework

Jingxuan Wei, Cheng Tan, Zhangyang Gao +5

Multimodal reasoning is a critical component in the pursuit of artificial intelligence systems that exhibit human-like intelligence, especially when tackling complex tasks. While t…