mlsanityData to 7 Oct 2026

Using Left and Right Brains Together: Towards Vision and Language Planning

arXiv 2402.10534 ↗First posted 16 Feb 2024cs.CVcited by 6

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Abstract (arXiv)

Large Language Models (LLMs) and Large Multi-modality Models (LMMs) have demonstrated remarkable decision masking capabilities on a variety of tasks. However, they inherently operate planning within the language space, lacking the vision and spatial imagination ability. In contrast, humans utilize both left and right hemispheres of the brain for language and visual planning during the thinking process. Therefore, we introduce a novel vision-language planning framework in this work to perform concurrent visual and language planning for tasks with inputs of any form. Our framework incorporates visual planning to capture intricate environmental details, while language planning enhances the logical coherence of the overall system. We evaluate the effectiveness of our framework across vision-language tasks, vision-only tasks, and language-only tasks. The results demonstrate the superior performance of our approach, indicating that the integration of visual and language planning yields better contextually aware task execution.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 43 of its 49 references that are in the map. First posted on arXiv 16 Feb 2024.

Builds on

43 of 49 references.

References · 43

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31 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 1; 2026: 1.

6 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation
  2. 2025Visual Planning: Let's Think Only with Images
  3. 2026Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs
  4. 2026Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation
  5. 2024Vision-Language Models Align with Human Neural Representations in Concept Processing
  6. 2024VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs
  7. 2026Rule-Compliant Visual Spatial Planning for Multimodal Large Language Models
  8. 2024Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models