6 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…
Latent Performance Profiling of Large Language Models
Tanmoy Chakraborty, Ayan Sengupta, Suparna Bhattacharya +7
Large language models (LLMs) frequently achieve impressive scores on standardized benchmarks, yet accuracy alone offers a limited view of their capabilities. Evaluating open-source…
Towards Explainability of SLMs by investigating Token Level Activation
Sayantani Ghosh, Rajashik Datta, Amit Kumar Das +1
Transformer-based language models such as BERT having 110M+ parameters have revolutionized natural language understanding, yet their internal mechanisms remain largely opaque to re…
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…