Papers with trajectory segmentation strategy

2 papers
Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning (2025.acl-long)

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Challenge: Visual-Language-Action models lack the ability to generate actionable policies tailored to specific robotic embodiments.
Approach: They propose an embodied multimodal action model with Grounded Chain of Thought and Look-ahead Spatial Reasoning that enhances spatial reasoning and task planning.
Outcome: The proposed model improves on existing baselines in tasks requiring spatial reasoning and grounding reasoning.
UniCM: A Unified Consistency Model For Efficient Multimodal Generation and Understanding (2026.findings-acl)

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Challenge: Consistency models (CMs) have shown promise in the efficient generation of both image and text.
Approach: They propose to use a discrete token for both image and text generation to achieve a unified denoising perspective.
Outcome: The proposed model outperforms SD3 on GenEval and Image Reward while being 1.5 faster at long-sequence generating speed.

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