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20232026
most citedExplainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey

11 citations · 42 across the 59 of their papers we have counts for

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Showing 2025 · cs.CLShow all

12 papers · 2 filters

cs.CL2025

EffiReason-Bench: A Unified Benchmark for Evaluating and Advancing Efficient Reasoning in Large Language Models

Junquan Huang, Haotian Wu, Yubo Gao +7

Large language models (LLMs) with Chain-of-Thought (CoT) prompting achieve strong reasoning but often produce unnecessarily long explanations, increasing cost and sometimes reducin…

cs.CL2025

DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning

Yibo Yan, Guangwei Xu, Xin Zou +3

Visual Document Retrieval (VDR), the task of retrieving visually-rich document pages using queries that combine visual and textual cues, is crucial for numerous real-world applicat…

cs.CL2025

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning

Jianghangfan Zhang, Yibo Yan, Kening Zheng +3

Multimodal Large Language Models (MLLMs) demonstrate remarkable capabilities but often struggle with complex, multi-step mathematical reasoning, where minor errors in visual percep…

cs.CL2025

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities

Junyan Zhang, Yubo Gao, Yibo Yan +8

The finetuning of Large Language Models (LLMs) has significantly advanced their instruction-following capabilities, yet the underlying computational mechanisms driving these improv…

cs.CL2025

PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions

Song Dai, Yibo Yan, Jiamin Su +8

Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in diverse reasoning tasks, yet their application to complex physics reasoning remains underexplo…

cs.CL2025

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring

Jiamin Su, Yibo Yan, Zhuoran Gao +3

Automated Essay Scoring (AES) is crucial for modern education, particularly with the increasing prevalence of multimodal assessments. However, traditional AES methods struggle with…