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Ganesh Ramakrishnan

7 papers hereh-index 340 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author4

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG2
  • cs.AI1
same name
  • Ganesh Ramakrishnan — 11 papers, h 2
  • Ganesh Ramakrishnan — 7 papers, h 2
  • Ganesh Ramakrishnan — 4 papers, h 4
  • Ganesh Ramakrishnan — 3 papers, h 2
  • Ganesh Ramakrishnan — 3 papers, h 1
  • Ganesh Ramakrishnan — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

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