25 citations · 25 across the 9 of their papers we have counts for
8 papers · 1 filter
PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
Prajwal Vijay Kajare, Priyanshu Priya, Bikash Santra +1
Emotion plays a pivotal role in shaping negotiation outcomes, influencing trust, cooperation, and long-term relationships. Developing negotiation dialog systems that can recognize…
We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism
Priyanshu Priya, Saurav Dudhate, Desai Vishesh Yasheshbhai +1
Integrating argumentation mechanisms into negotiation dialogue systems improves conflict resolution through exchanges of arguments and critiques. Moreover, incorporating personalit…
Just a Scratch: Enhancing LLM Capabilities for Self-harm Detection through Intent Differentiation and Emoji Interpretation
Soumitra Ghosh, Gopendra Vikram Singh, Shambhavi +2
Self-harm detection on social media is critical for early intervention and mental health support, yet remains challenging due to the subtle, context-dependent nature of such expres…
Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks
Ratnesh Kumar Joshi, Priyanshu Priya, Vishesh Desai +6
Given the advancements in conversational artificial intelligence, the evaluation and assessment of Large Language Models (LLMs) play a crucial role in ensuring optimal performance…
MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical Structures
Aizan Zafar, Kshitij Mishra, Asif Ekbal
In Medical question-answering (QA) tasks, the need for effective systems is pivotal in delivering accurate responses to intricate medical queries. However, existing approaches ofte…
Computational Politeness in Natural Language Processing: A Survey
Priyanshu Priya, Mauajama Firdaus, Asif Ekbal
Computational approach to politeness is the task of automatically predicting and generating politeness in text. This is a pivotal task for conversational analysis, given the ubiqui…