5 papers
Towards Reversible Forgetting: Managing Obsolete Knowledge in Continual Enterprise AI Agents
Nilutpaul Sarker Yash, Tirtho Roy, Ushashi Bhattacharjee
Continual learning has traditionally treated forgetting as a failure, emphasizing preservation of previously acquired knowledge as environments evolve. We argue that this objective…
Toward Uncertainty Quantification in Modern Art
Tirtho Roy, Ushashi Bhattacharjee, Showrav Kumar Saha +3
Asked to animate the same modern artwork under different random seeds, a text to video model returns visibly different films, one reading per seed. Because modern art is ambiguous…
TRAPS: Treatment-Assignment Prediction via Pathway-informed Stratification
Sujoy Banik, Sayantan Chakraborty, Boishakhi Das Toma +4
Cancer treatment involves decisions across multiple clinical outcomes, yet pathway-informed deep learning models are typically evaluated in isolation, making their relative benefit…
Improving the Safety and Trustworthiness of Medical AI via Multi-Agent Evaluation Loops
Zainab Ghafoor, Md Shafiqul Islam, Koushik Howlader +6
Large Language Models (LLMs) are increasingly applied in healthcare, yet ensuring their ethical integrity and safety compliance remains a major barrier to clinical deployment. This…
In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy
Shreyan Ganguly, Angona Biswas, Jaydeep Rade +9
Foundation vision-language models (VLMs) excel on natural images, but their utility for biomedical microscopy remains underexplored. In this paper, we investigate how in-context le…