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20242026
most citedFrom GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities

3 citations · 3 across the 6 of their papers we have counts for

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cs.CV2025

Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm

Jingqi Tong, Yurong Mou, Hangcheng Li +11

The "Thinking with Text" and "Thinking with Images" paradigms significantly improve the reasoning abilities of large language models (LLMs) and Vision-Language Models (VLMs). Howev…

cs.CL2025

Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning

Jingqi Tong, Jixin Tang, Hangcheng Li +21

Vision-language reinforcement learning (RL) has primarily focused on narrow domains (e.g. geometry or chart reasoning). This leaves broader training scenarios and resources underex…