Summary of Amgpt: a Large Language Model For Contextual Querying in Additive Manufacturing, by Achuth Chandrasekhar et al.
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturingby Achuth Chandrasekhar, Jonathan Chan,…
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturingby Achuth Chandrasekhar, Jonathan Chan,…
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoningby Costas Mavromatis, George KarypisFirst submitted to…
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughtsby Chunjing…
Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehensionby Shubham Vatsal, Ayush…
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMsby Somnath Kumar, Vaibhav…
Don’t Forget to Connect! Improving RAG with Graph-based Rerankingby Jialin Dong, Bahare Fatemi, Bryan Perozzi,…
GRAG: Graph Retrieval-Augmented Generationby Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang…
Certifiably Robust RAG against Retrieval Corruptionby Chong Xiang, Tong Wu, Zexuan Zhong, David Wagner, Danqi…
Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architecturesby Ruiyang Qin, Zheyu Yan, Dewen Zeng,…
ERATTA: Extreme RAG for Table To Answers with Large Language Modelsby Sohini Roychowdhury, Marko Krema,…