4 papers
Digitizing Coaching Intelligence: An Agentic Framework for Holistic Athlete Profiling using VLM and RAG
Deep Ghosal, Ishani Sen, Wazib Ansar +1
Athlete assessment is a critical process for tracking physical progress and identifying elite talent. However, during mass recruitment drives, traditional methods rely on manual ob…
BEExformer: A Fast Inferencing Binarized Transformer with Early Exits
Wazib Ansar, Saptarsi Goswami, Amlan Chakrabarti
Large Language Models (LLMs) based on transformers achieve cutting-edge results on a variety of applications. However, their enormous size and processing requirements hinder deploy…
From Transformers to LLMs: A Systematic Survey of Efficiency Considerations in NLP
Wazib Ansar, Saptarsi Goswami, Amlan Chakrabarti
The emergence of Transformer-based Large Language Models (LLMs) has substantially augmented the capabilities of Natural Language Processing (NLP), thereby intensifying the demand f…
A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval
Puspendu Banerjee, Aritra Mazumdar, Wazib Ansar +2
The judiciary, as one of democracy's three pillars, is dealing with a rising amount of legal issues, needing careful use of judicial resources. This research presents a complex fra…