10 citations · 12 across the 4 of their papers we have counts for
6 papers
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana
Simone Filice, Guy Horowitz, David Carmel +3
Evaluating Retrieval-Augmented Generation (RAG) systems, especially in domain-specific contexts, requires benchmarks that address the distinctive requirements of the applicative sc…
Alexa, Let's Work Together: Introducing the First Alexa Prize TaskBot Challenge on Conversational Task Assistance
Anna Gottardi, Osman Ipek, Giuseppe Castellucci +27
Since its inception in 2016, the Alexa Prize program has enabled hundreds of university students to explore and compete to develop conversational agents through the SocialBot Grand…
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products
Ohad Rozen, David Carmel, Avihai Mejer +2
Predicting the answer to a product-related question is an emerging field of research that recently attracted a lot of attention. Answering subjective and opinion-based questions is…
Fishing in the Stream: Similarity Search over Endless Data
Naama Kraus, David Carmel, Idit Keidar
Similarity search is the task of retrieving data items that are similar to a given query. In this paper, we introduce the time-sensitive notion of similarity search over endless da…
Tail-Tolerant Distributed Search
Naama Kraus, David Carmel, Idit Keidar
Today's search engines process billions of online user queries a day over huge collections of data. In order to scale, they distribute query processing among many nodes, where each…
NearBucket-LSH: Efficient Similarity Search in P2P Networks
Naama Kraus, David Carmel, Idit Keidar +1
We present NearBucket-LSH, an effective algorithm for similarity search in large-scale distributed online social networks organized as peer-to-peer overlays. As communication is a…