Leveraging Linguistically Enhanced Embeddings for Open Information Extraction

no code implementations • 20 Mar 2024 • Fauzan Farooqui, Thanmay Jayakumar, Pulkit Mathur, Mansi Radke

To bridge this gap, we are the first to leverage linguistic features with a Seq2Seq PLM for OIE.

Open Information Extraction POS +2

Airavata: Introducing Hindi Instruction-tuned LLM

1 code implementation • 26 Jan 2024 • Jay Gala, Thanmay Jayakumar, Jaavid Aktar Husain, Aswanth Kumar M, Mohammed Safi Ur Rahman Khan, Diptesh Kanojia, Ratish Puduppully, Mitesh M. Khapra, Raj Dabre, Rudra Murthy, Anoop Kunchukuttan

We announce the initial release of "Airavata," an instruction-tuned LLM for Hindi.

RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models models via Romanization

no code implementations • 25 Jan 2024 • Jaavid Aktar Husain, Raj Dabre, Aswanth Kumar, Jay Gala, Thanmay Jayakumar, Ratish Puduppully, Anoop Kunchukuttan

This study addresses the challenge of extending Large Language Models (LLMs) to non-English languages using non-Roman scripts.

Continual Pretraining Sentiment Analysis

Large Language Models are legal but they are not: Making the case for a powerful LegalLLM

no code implementations • 15 Nov 2023 • Thanmay Jayakumar, Fauzan Farooqui, Luqman Farooqui

Realizing the recent advances in Natural Language Processing (NLP) to the legal sector poses challenging problems such as extremely long sequence lengths, specialized vocabulary that is usually only understood by legal professionals, and high amounts of data imbalance.