4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications
Sujoy Roychowdhury, Sumit Soman, HG Ranjani +3
With the ubiquitous use of document corpora for question answering, one important aspect which is especially relevant for technical documents is the ability to extract information…
cs.CL2024★ 4 cited
Evaluation of RAG Metrics for Question Answering in the Telecom Domain
Sujoy Roychowdhury, Sumit Soman, H G Ranjani +3
Retrieval Augmented Generation (RAG) is widely used to enable Large Language Models (LLMs) perform Question Answering (QA) tasks in various domains. However, RAG based on open-sour…
cs.LG2024
Observations on Building RAG Systems for Technical Documents
Sumit Soman, Sujoy Roychowdhury
Retrieval augmented generation (RAG) for technical documents creates challenges as embeddings do not often capture domain information. We review prior art for important factors aff…