10 citations · 22 across the 5 of their papers we have counts for
5 papers
RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems
Robert Friel, Masha Belyi, Atindriyo Sanyal
Retrieval-Augmented Generation (RAG) has become a standard architectural pattern for incorporating domain-specific knowledge into user-facing chat applications powered by Large Lan…
Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost
Masha Belyi, Robert Friel, Shuai Shao +1
Retriever Augmented Generation (RAG) systems have become pivotal in enhancing the capabilities of language models by incorporating external knowledge retrieval mechanisms. However,…
Chainpoll: A high efficacy method for LLM hallucination detection
Robert Friel, Atindriyo Sanyal
Large language models (LLMs) have experienced notable advancements in generating coherent and contextually relevant responses. However, hallucinations - incorrect or unfounded clai…
Fix your Models by Fixing your Datasets
Atindriyo Sanyal, Vikram Chatterji, Nidhi Vyas +3
The quality of underlying training data is very crucial for building performant machine learning models with wider generalizabilty. However, current machine learning (ML) tools lac…
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems
Laurel Orr, Atindriyo Sanyal, Xiao Ling +2
The industrial machine learning pipeline requires iterating on model features, training and deploying models, and monitoring deployed models at scale. Feature stores were developed…