1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.DC2025★ 1 cited
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation
Shubham Agarwal, Sai Sundaresan, Subrata Mitra +6
Retrieval-Augmented Generation (RAG) is often used with Large Language Models (LLMs) to infuse domain knowledge or user-specific information. In RAG, given a user query, a retrieve…
cs.SD2024★ 1 cited
Towards Advanced Speech Signal Processing: A Statistical Perspective on Convolution-Based Architectures and its Applications
Nirmal Joshua Kapu, Raghav Karan
This article surveys convolution-based models including convolutional neural networks (CNNs), Conformers, ResNets, and CRNNs-as speech signal processing models and provide their st…
cs.SE2024
Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models
Nirmal Joshua Kapu, Mihit Sreejith
Generating executable code from natural language instructions using Large Language Models (LLMs) poses challenges such as semantic ambiguity and understanding taskspecific contexts…