DR-CoT: dynamic recursive chain of thought with meta reasoning for parameter efficient models
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-18622-6
Abstract: Chain-of-Thought (CoT) prompting has revolutionized reasoning in Large Language Models (LLMs), enabling them to tackle complex tasks by mimicking step-by-step human thought processes. However, traditional CoT methods often suffer from high computational costs and context… read more here.
Keywords: efficient models; chain thought; language; parameter efficient ... See more keywords
Incorporating LLM Versus LLM Into Multimodal Chain-of-Thought for Fine-Grained Evidence Generation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3636927
Abstract: Multimodal Chain-of-Thought (MCoT) has become an effective strategy for enhancing multimodal large-language models (MLLMs) by breaking down complex tasks into sequential reasoning steps. Despite its interpretability benefits, MCoT often encounters difficulties with fine-grained semantic grounding,… read more here.
Keywords: chain thought; multimodal chain; multimodal; fine grained ... See more keywords
ExpLLM: Towards Chain of Thought for Facial Expression Recognition
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3557704
Abstract: Facial expression recognition (FER) is a critical task in multimedia with significant implications across various domains. However, analyzing the causes of facial expressions is essential for accurately recognizing them. Current approaches, such as those based… read more here.
Keywords: facial expression; chain thought; expression recognition; expllm ... See more keywords
A Novel Chain-of-Thought Reasoning Approach for Alzheimer’s Disease Detection Using Large Language and Vision-Language Models
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2025.3624762
Abstract: In response to the rapid onset of super-aged societies and the growing prevalence of dementia, our research proposes a multimodal, on-device large language model (LLM)-based agent designed for comprehensive elderly care. Unlike traditional models focused… read more here.
Keywords: alzheimer disease; large language; chain thought; language ... See more keywords
Assessing the role of GPT-4 in thyroid ultrasound diagnosis and treatment recommendations: enhancing interpretability with a chain of thought approach
Sign Up to like & getrecommendations! Published in 2024 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-23-1180
Abstract: Background As artificial intelligence (AI) becomes increasingly prevalent in the medical field, the effectiveness of AI-generated medical reports in disease diagnosis remains to be evaluated. ChatGPT is a large language model developed by open AI… read more here.
Keywords: chain thought; diagnosis; treatment; gpt ... See more keywords
Adaptive Chain-of-Thought Distillation Based on LLM Performance on Original Problems
Sign Up to like & getrecommendations! Published in 2025 at "Mathematics"
DOI: 10.3390/math13223646
Abstract: The chain-of-thought (CoT) approach in large language models (LLMs) has markedly enhanced their performance on complex tasks; however, effectively distilling this capability into LLMs with smaller parameter scales remains a challenge. Studies have found that… read more here.
Keywords: original problems; chain thought; student; performance ... See more keywords