2 papers
cs.LG2026
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…
cs.LG2026
A New Technique for AI Explainability using Feature Association Map
Sayantani Ghosh, Amit Kumar Das, Amlan Chakrabarti
Lack of transparency in AI systems poses challenges in critical real-life applications. It is important to be able to explain the decisions of an AI system to ensure trust on the s…