activity
20232026
most citedLarge Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

CANDI: Contextual Alignment for Niche Domains Question Answering

Megha Chakraborty, Darssan L. Eswaramoorthi, Het Riteshkumar Shah +5

The deployment of large language models (LLMs) in specialized domains like medical diagnostics and financial advisory necessitates evaluating capabilities beyond general knowledge.…

cs.CL2026

VIRAASAT: Traversing Novel Paths for Indian Cultural Reasoning

Harshul Raj Surana, Arijit Maji, Aryan Vats +3

Large Language Models (LLMs) have made significant progress in reasoning tasks across various domains such as mathematics and coding. However, their performance deteriorates in tas…

cs.CV2025

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization

Renjith Prasad, Abhilekh Borah, Hasnat Md Abdullah +9

Alignment is crucial for text-to-image (T2I) models to ensure that generated images faithfully capture user intent while maintaining safety and fairness. Direct Preference Optimiza…

cs.CL2025

Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs

Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray +7

Text Generation has achieved remarkable performance using large language models. It has also been recently well-studied that these large language models are capable of creative gen…

cs.CY2025

NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews

Vedant Khandelwal, Kaushik Roy, Valerie Lookingbill +4

The introduction of Large Language Models (LLMs) has significantly impacted various fields, including education, for example, by enabling the creation of personalized learning mate…

cs.CL2025★ 3 cited

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case

Kaushik Roy, Harshul Surana, Darssan Eswaramoorthi +4

Large language models (LLMs) are increasingly attracting the attention of healthcare professionals for their potential to assist in diagnostic assessments, which could alleviate th…

cs.IR2023★ 1 cited

GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews

Kaushik Roy, Vedant Khandelwal, Harshul Surana +3

Systematic reviews (SRs) - the librarian-assisted literature survey of scholarly articles takes time and requires significant human resources. Given the ever-increasing volume of p…