most citedTestDecision: Sequential Test Suite Generation via Greedy Optimization and Reinforcement Learning

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cs.CL2025

Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation Capabilities

Hanbin Wang, Xiaoxuan Zhou, Zhipeng Xu +7

This paper introduces Code-Vision, a benchmark designed to evaluate the logical understanding and code generation capabilities of Multimodal Large Language Models (MLLMs). It chall…

cs.CL2025

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models

Yongyu Mu, Hengyu Li, Junxin Wang +7

Previous work on augmenting large multimodal models (LMMs) for text-to-image (T2I) generation has focused on enriching the input space of in-context learning (ICL). This includes p…