2 citations · 3 across the 5 of their papers we have counts for
6 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…
COFAR: Commonsense and Factual Reasoning in Image Search
Prajwal Gatti, Abhirama Subramanyam Penamakuri, Revant Teotia +3
One characteristic that makes humans superior to modern artificially intelligent models is the ability to interpret images beyond what is visually apparent. Consider the following…
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…
Causal BERT : Language models for causality detection between events expressed in text
Vivek Khetan, Roshni Ramnani, Mayuresh Anand +2
Causality understanding between events is a critical natural language processing task that is helpful in many areas, including health care, business risk management and finance. On…