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20152025
most citedObservations on LLMs for Telecom Domain: Capabilities and Limitations

31 citations · 92 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

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.SE2024★ 1 cited

Icing on the Cake: Automatic Code Summarization at Ericsson

Giriprasad Sridhara, Sujoy Roychowdhury, Sumit Soman +2

This paper presents our findings on the automatic summarization of Java methods within Ericsson, a global telecommunications company. We evaluate the performance of an approach cal…

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.CL2024

Investigating Distributions of Telecom Adapted Sentence Embeddings for Document Retrieval

Sujoy Roychowdhury, Sumit Soman, Ranjani Hosakere Gireesha +4

A plethora of sentence embedding models makes it challenging to choose one, especially for technical domains rich with specialized vocabulary. In this work, we domain adapt embeddi…

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…