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Xiongtao Zhou

2 accepted papers

2025

MiCEval: Unveiling Multimodal Chain of Thought’s Quality via Image Description and Reasoning Steps

NAACL 2025long

**Multimodal Chain of Thought (MCoT)** is a popular prompting strategy for improving the performance of multimodal large language models (MLLMs) across a range of complex reasoning tasks. Despite its popularity, there is a notable absence of automated methods for evaluating the quality of reasoning…

2024

An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models

ACL 2024findings

Multimodal Large Language Models (MLLMs) fine-tuned with multimodal instruction-following data have demonstrated formidable capabilities in multimodal tasks. However, fine-tuning all parameters of MLLMs has become challenging due to the rapid growth of the overall model’s parameters. To address this…