2 citations · 6 across the 5 of their papers we have counts for
6 papers
The Tokenization Bottleneck: How Vocabulary Extension Improves Chemistry Representation Learning in Pretrained Language Models
Prathamesh Kalamkar, Ned Letcher, Meissane Chami +3
The application of large language models (LLMs) to chemistry is frequently hampered by a "tokenization bottleneck", where tokenizers tuned on general-domain text tend to fragment c…
Aalap: AI Assistant for Legal & Paralegal Functions in India
Aman Tiwari, Prathamesh Kalamkar, Atreyo Banerjee +3
Using proprietary Large Language Models on legal tasks poses challenges due to data privacy issues, domain data heterogeneity, domain knowledge sophistication, and domain objective…
SemEval 2023 Task 6: LegalEval - Understanding Legal Texts
Ashutosh Modi, Prathamesh Kalamkar, Saurabh Karn +6
In populous countries, pending legal cases have been growing exponentially. There is a need for developing NLP-based techniques for processing and automatically understanding legal…
Named Entity Recognition in Indian court judgments
Prathamesh Kalamkar, Astha Agarwal, Aman Tiwari +3
Identification of named entities from legal texts is an essential building block for developing other legal Artificial Intelligence applications. Named Entities in legal texts are…
Corpus for Automatic Structuring of Legal Documents
Prathamesh Kalamkar, Aman Tiwari, Astha Agarwal +4
In populous countries, pending legal cases have been growing exponentially. There is a need for developing techniques for processing and organizing legal documents. In this paper,…
Indian Legal NLP Benchmarks : A Survey
Prathamesh Kalamkar, Janani Venugopalan Ph. D., Vivek Raghavan Ph. D
Availability of challenging benchmarks is the key to advancement of AI in a specific field.Since Legal Text is significantly different than normal English text, there is a need to…