1 citations · 3 across the 4 of their papers we have counts for
4 papers
AprielGuard
Jaykumar Kasundra, Anjaneya Praharaj, Sourabh Surana +11
Safeguarding large language models (LLMs) against unsafe or adversarial behavior is critical as they are increasingly deployed in conversational and agentic settings. Existing mode…
Token-Level Marginalization for Multi-Label LLM Classifiers
Anjaneya Praharaj, Jaykumar Kasundra
This paper addresses the critical challenge of deriving interpretable confidence scores from generative language models (LLMs) when applied to multi-label content safety classifica…
The Right Model for the Job: An Evaluation of Legal Multi-Label Classification Baselines
Martina Forster, Claudia Schulz, Prudhvi Nokku +3
Multi-Label Classification (MLC) is a common task in the legal domain, where more than one label may be assigned to a legal document. A wide range of methods can be applied, rangin…
A Framework for Monitoring and Retraining Language Models in Real-World Applications
Jaykumar Kasundra, Claudia Schulz, Melicaalsadat Mirsafian +1
In the Machine Learning (ML) model development lifecycle, training candidate models using an offline holdout dataset and identifying the best model for the given task is only the f…