IEEE

A 10 Gb/s Single-Ended Receiver Using Time Gap Sense Amplifier for Next-Generation HBM

Abstract: This brief introduces a time gap sense amplifier (TGSA) to address the challenges of managing thousands of sense amplifiers (SAs) for next-generation high-bandwidth memory (HBM). The TGSA ...
IEEE

Context-Aware Retrieval Augmented Generation Using Similarity Validation to Handle Context Inconsistencies in Large Language Models

Abstract: Large Language Models (LLMs) have transformed natural language processing by offering human-like responses. However, issues such as incorrect information (hallucinations) and errors in ...
GitHub

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

@article{li2024rag, title={RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards}, author={Li, Xinze and Mei, Sen and Liu, Zhenghao and Yan, Yukun and Wang, Shuo and Yu, ...
Frontiers

Semiautomated breast ultrasound report generation using multimodal large language models and deep learning

Introduction: Breast ultrasound (US) imaging is essential for early breast cancer detection, yet generating diagnostic reports is labor-intensive, particularly when incorporating multimodal ...