Summary of T-rag: Lessons From the Llm Trenches, by Masoomali Fatehkia et al.
T-RAG: Lessons from the LLM Trenchesby Masoomali Fatehkia, Ji Kim Lucas, Sanjay ChawlaFirst submitted to…
Summary of Enhancing Textual Textbook Question Answering with Large Language Models and Retrieval Augmented Generation, by Hessa Abdulrahman Alawwad et al.
Enhancing textual textbook question answering with large language models and retrieval augmented generationby Hessa Abdulrahman…
Summary of From Rag to Qa-rag: Integrating Generative Ai For Pharmaceutical Regulatory Compliance Process, by Jaewoong Kim (sungkyunkwan University) et al.
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Processby Jaewoong Kim, Moohong…
Summary of Development and Testing Of Retrieval Augmented Generation in Large Language Models — a Case Study Report, by Yuhe Ke et al.
Development and Testing of Retrieval Augmented Generation in Large Language Models – A Case Study…
Summary of Development and Testing Of a Novel Large Language Model-based Clinical Decision Support Systems For Medication Safety in 12 Clinical Specialties, by Jasmine Chiat Ling Ong et al.
Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication…
Summary of Litllm: a Toolkit For Scientific Literature Review, by Shubham Agarwal et al.
LitLLM: A Toolkit for Scientific Literature Reviewby Shubham Agarwal, Issam H. Laradji, Laurent Charlin, Christopher…
Summary of Llamp: Large Language Model Made Powerful For High-fidelity Materials Knowledge Retrieval and Distillation, by Yuan Chiang et al.
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillationby Yuan Chiang,…
Summary of A Rag-based Question Answering System Proposal For Understanding Islam: Mufassirqas Llm, by Ahmet Yusuf Alan et al.
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLMby Ahmet Yusuf Alan, Enis…
Summary of Improving Medical Reasoning Through Retrieval and Self-reflection with Retrieval-augmented Large Language Models, by Minbyul Jeong et al.
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Modelsby Minbyul Jeong, Jiwoong…
Summary of Unims-rag: a Unified Multi-source Retrieval-augmented Generation For Personalized Dialogue Systems, by Hongru Wang et al.
UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systemsby Hongru Wang, Wenyu Huang, Yang…