Papers by Sanchit Sinha
COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models (2025.emnlp-main)
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| Challenge: | Existing approaches to improve compositional reasoning in vision language models are resource-intensive or do not provide an interpretable reasoning process. |
| Approach: | They propose a method that augments VLM outputs with carefully designed neurosymbolic concept trees learned from LLMs to improve VLM’s linguistic reasoning. |
| Outcome: | Empirical results show that COCO-Tree significantly improves compositional generalization and provides a rationale behind VLM predictions. |