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
PERS: Parameter-Efficient Multimodal Transfer Learning for Remote Sensing Visual Question Answering
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3447086
Abstract: Remote sensing (RS) visual question answering (VQA) provides accurate answers through the analysis of RS images (RSIs) and associated questions. Recent research has increasingly adopted transformers for feature extraction. However, this trend leads to escalating… read more here.
Keywords: remote sensing; sensing visual; efficient multimodal; question answering ... See more keywords
UP-Person: Unified Parameter-Efficient Transfer Learning for Text-Based Person Retrieval
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3588406
Abstract: Text-based Person Retrieval (TPR) as a multi-modal task, which aims to retrieve the target person from a pool of candidate images given a text description, has recently garnered considerable attention due to the progress of… read more here.
Keywords: text based; person; unified parameter; based person ... See more keywords
Parameter-Efficient Fine-Tuning With Frequency Adapter for Enhanced Sea–Land Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3573159
Abstract: Accurate sea-land segmentation (SLS) from satellite imagery is essential for monitoring coastline changes, which holds great significance for coastal regions. Recent advances in deep learning (DL), particularly convolutional neural networks (CNNs) and vision transformers (ViTs),… read more here.
Keywords: land segmentation; efficient fine; parameter efficient; sea land ... See more keywords
TR-Adapter: Parameter-Efficient Transfer Learning for Video Question Answering
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2024.3521708
Abstract: In recent years, the use of large-scale pre-trained models for vision-language tasks has gained significant attention and has shown promising results in the video question answering. However, the increasing size of these models has made… read more here.
Keywords: efficient transfer; video question; language; question answering ... See more keywords