1 citations · 2 across the 2 of their papers we have counts for
5 papers · 1 filter
Support-Contra Asymmetry in LLM Explanations
Avinash Patil
Large Language Models (LLMs) increasingly produce natural language explanations alongside their predictions, yet it remains unclear whether these explanations reference predictive…
Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text
Avinash Patil, Amardeep Kour Gedhu
Large Language Models (LLMs) have demonstrated potential in predicting mental health outcomes from online text, yet traditional classification methods often lack interpretability a…
Advancing Reasoning in Large Language Models: Promising Methods and Approaches
Avinash Patil, Aryan Jadon
Large Language Models (LLMs) have succeeded remarkably in various natural language processing (NLP) tasks, yet their reasoning capabilities remain a fundamental challenge. While LL…
Evaluating Reasoning LLMs for Suicide Screening with the Columbia-Suicide Severity Rating Scale
Avinash Patil, Siru Tao, Amardeep Gedhu
Suicide prevention remains a critical public health challenge. While online platforms such as Reddit's r/SuicideWatch have historically provided spaces for individuals to express s…
English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports
Avinash Patil, Siru Tao, Aryan Jadon
Accurate translation of bug reports is critical for efficient collaboration in global software development. In this study, we conduct the first comprehensive evaluation of machine…