5 papers · 1 filter
OMIND: Framework for Knowledge Grounded Finetuning and Multi-Turn Dialogue Benchmark for Mental Health LLMs
Suraj Racha, Prashant Harish Joshi, Utkarsh Maurya +6
Large Language Models (LLMs) have shown remarkable capabilities for complex tasks, yet adaptation in medical domain, specifically mental health, poses specific challenges. Mental h…
BhashaBench V1: A Comprehensive Benchmark for the Quadrant of Indic Domains
Vijay Devane, Mohd Nauman, Bhargav Patel +14
The rapid advancement of large language models(LLMs) has intensified the need for domain and culture specific evaluation. Existing benchmarks are largely Anglocentric and domain-ag…
PARAM-1 BharatGen 2.9B Model
Kundeshwar Pundalik, Piyush Sawarkar, Nihar Sahoo +19
Large Language Models (LLMs) have emerged as powerful general-purpose reasoning systems, yet their development remains dominated by English-centric data, architectures, and optimiz…
MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models
Suraj Racha, Prashant Joshi, Anshika Raman +4
Mental health remains a challenging problem all over the world, with issues like depression, anxiety becoming increasingly common. Large Language Models (LLMs) have seen a vast app…
GUIDEQ: Framework for Guided Questioning for progressive informational collection and classification
Priya Mishra, Suraj Racha, Kaustubh Ponkshe +2
Question Answering (QA) is an important part of tasks like text classification through information gathering. These are finding increasing use in sectors like healthcare, customer…