1 citations · 1 across the 7 of their papers we have counts for
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Broken Words, Broken Performance: Effect of Tokenization on Performance of LLMs
Sachin Pawar, Manoj Apte, Kshitij Jadhav +2
Tokenization is the first step in training any Large Language Model (LLM), where the text is split into a sequence of tokens as per the model's fixed vocabulary. This tokenization…
Explainable Statute Prediction via Attention-based Model and LLM Prompting
Sachin Pawar, Girish Keshav Palshikar, Anindita Sinha Banerjee +2
In this paper, we explore the problem of automatic statute prediction where for a given case description, a subset of relevant statutes are to be predicted. Here, the term "statute…
DRAssist: Dispute Resolution Assistance using Large Language Models
Sachin Pawar, Manoj Apte, Girish K. Palshikar +2
Disputes between two parties occur in almost all domains such as taxation, insurance, banking, healthcare, etc. The disputes are generally resolved in a specific forum (e.g., consu…
Topics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification
Sachin Pawar, Nitin Ramrakhiyani, Swapnil Hingmire +1
We propose a Label Propagation based algorithm for weakly supervised text classification. We construct a graph where each document is represented by a node and edge weights represe…
Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals
Girish Keshav Palshikar, Sachin Pawar, Saheb Chourasia +1
Performance appraisal (PA) is an important HR process to periodically measure and evaluate every employee's performance vis-a-vis the goals established by the organization. A PA pr…