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Benchmarking and Enhancing Multimodal

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MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding

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IMUG-Bench: Benchmarking Unified Multimodal Models on Interleaved Understanding and Generation

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Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models

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Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models

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MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval

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DyCo-RL: Dynamic Cross-Modal Coordination for Visual Reasoning

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Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning

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iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning

arXiv:2605.31096v1 Announce Type: new Abstract: While visually grounded Chain-of-Thought (CoT) has emerged as a promising paradigm to enhance fine-grained perception in multimodal large language models (MLLMs), its efficacy during the inference phase remains underexplored. In this work, we empirically find that mandating explicit object boxes in visually grounded CoT during inference often degrades performance compared to standard textual CoT, which reasons without explicit visual grounding....

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Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning

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Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM

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arXiv CS 6d ago