depth estimation 1multimodal large language models 1prompt engineering 1resource-efficient inference 1spatial reasoning 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical Applications
Piyush Jain, Kousik Dasgupta, Rajarshi Roy +1
The paper introduces ByDeWay-V2, a training‑free prompting framework that adds explicit pairwise spatial predicates derived from depth estimation and open‑vocabulary object detecti…
cs.CV2025
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way
Rajarshi Roy, Devleena Das, Ankesh Banerjee +3
We introduce ByDeWay, a training-free framework designed to enhance the performance of Multimodal Large Language Models (MLLMs). ByDeWay uses a novel prompting strategy called Laye…