11 citations · 11 across the 6 of their papers we have counts for
7 papers
PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance
Rohan Kirti, Akash Ghosh, Aryan Vats +5
Large Language Models (LLMs) are revolutionizing digital communication by powering conversational agents deployed across domains such as customer service, digital sales, and insura…
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…
INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System
Zishan Ahmad, Suman Saurabh, Vaishakh Sreekanth Menon +3
In this paper, we propose a novel negotiation dialogue agent designed for the online marketplace. Our agent is integrative in nature i.e, it possesses the capability to negotiate o…
Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues
Sandhya Singh, Prapti Roy, Nihar Sahoo +8
Movies reflect society and also hold power to transform opinions. Social biases and stereotypes present in movies can cause extensive damage due to their reach. These biases are no…
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
Deepak Gupta, Rajkumar Pujari, Asif Ekbal +4
In this paper, we propose a hybrid technique for semantic question matching. It uses our proposed two-layered taxonomy for English questions by augmenting state-of-the-art deep lea…
Expression Recognition in the Wild Using Sequence Modeling
Sowmya Rasipuram, Junaid Hamid Bhat, Anutosh Maitra
As we exceed upon the procedures for modelling the different aspects of behaviour, expression recognition has become a key field of research in Human Computer Interactions. Express…