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cs.IR2026
Retrieval-Augmented Generation in LLMs for Mental Health: Quantifying the Incremental Contribution of Retrieval Within a Layered Safety Architecture
Anand Gupta, Akshat Surolia, Shubham Mishra +2
Digital mental health interventions (DMHIs) offer scalable support, but ensuring they accurately detect users' intent during volatile situations can be challenging. Pure parametric…
cs.LG2026
Continual Learning for Food Category Classification Dataset: Enhancing Model Adaptability and Performance
Piyush Kaushik Bhattacharyya, Devansh Tomar, Shubham Mishra +6
Conventional machine learning pipelines often struggle to recognize categories absent from the original trainingset. This gap typically reduces accuracy, as fixed datasets rarely c…
cs.DC2026
Pirateship: Append-Only Ledgers for (Mostly) Trusted Execution Environments
Shubham Mishra, João Gonçalves, Chawinphat Tankuranand +4
Distributed ledgers are increasingly relied upon by industry to provide trustworthy accountability, strong integrity protection, and high availability for critical data without cen…