Papers by Gopendra Singh
On the Way to Gentle AI Counselor: Politeness Cause Elicitation and Intensity Tagging in Code-mixed Hinglish Conversations for Social Good (2024.findings-naacl)
Copied to clipboard
| Challenge: | Politeness is a multifaceted concept influenced by individual perceptions of what is considered polite or impolite. |
| Approach: | They propose a task to identify the underlying reasons behind the use of politeness and gauge the degree of politity conveyed. |
| Outcome: | The proposed method is compared against state-of-the-art datasets and their results show it is superior. |
Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts (2023.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for identifying hate speech have been limited to analyzing textual content. |
| Approach: | They propose a method for distress identification and cause extraction from social media posts using emotional information. |
| Outcome: | The proposed method improves F1 and ROS scores by 1.95% and 3% relative to the best-performing baseline. |
Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework (2024.emnlp-main)
Copied to clipboard
| Challenge: | Cognitive distortion research sheds light on pervasive errors in thinking patterns . authors present method for detecting and reasoning about cognitive distortions . |
| Approach: | They propose a method for detecting and reasoning about cognitive distortions using Large Language Models. |
| Outcome: | The proposed method improves accuracy and depth of detection and reasoning tasks in a zero-shot manner. |