R-CoT: Reverse Chain-of-Thought Problem Generation for Geometric Reasoning in Large Multimodal Models
Existing Large Multimodal Models (LMMs) struggle with mathematical geometric reasoning
due to a lack of high-quality image-text paired data. Current geometric data generation …
due to a lack of high-quality image-text paired data. Current geometric data generation …
SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding
Large Language Models (LLMs) demonstrate remarkable emergent abilities across various
tasks, yet fall short of complex reasoning and planning tasks. The tree-search-based …
tasks, yet fall short of complex reasoning and planning tasks. The tree-search-based …
R-CoT: Reverse Chain-of-Thought Problem Generation for Geometric Reasoning in Large Multimodal Models
Existing Large Multimodal Models (LMMs) struggle with mathematical geometric reasoning
due to a lack of high-quality image-text paired data. Current geometric data generation …
due to a lack of high-quality image-text paired data. Current geometric data generation …