3 citations · 13 across the 15 of their papers we have counts for
16 papers
Emotionally-Aware Agents for Dispute Resolution
Sushrita Rakshit, James Hale, Kushal Chawla +2
In conflict, people use emotional expressions to shape their counterparts' thoughts, feelings, and actions. This paper explores whether automatic text emotion recognition offers in…
KODIS: A Multicultural Dispute Resolution Dialogue Corpus
James Hale, Sushrita Rakshit, Kushal Chawla +2
We present KODIS, a dyadic dispute resolution corpus containing thousands of dialogues from over 75 countries. Motivated by a theoretical model of culture and conflict, participant…
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
Deuksin Kwon, Emily Weiss, Tara Kulshrestha +3
A successful negotiation requires a range of capabilities, including comprehension of the conversation context, Theory-of-Mind (ToM) skills to infer the partner's motives, strategi…
Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions
Kushal Chawla, Ian Wu, Yu Rong +2
A natural way to design a negotiation dialogue system is via self-play RL: train an agent that learns to maximize its performance by interacting with a simulated user that has been…
Social Influence Dialogue Systems: A Survey of Datasets and Models For Social Influence Tasks
Kushal Chawla, Weiyan Shi, Jingwen Zhang +3
Dialogue systems capable of social influence such as persuasion, negotiation, and therapy, are essential for extending the use of technology to numerous realistic scenarios. Howeve…
Opponent Modeling in Negotiation Dialogues by Related Data Adaptation
Kushal Chawla, Gale M. Lucas, Jonathan May +1
Opponent modeling is the task of inferring another party's mental state within the context of social interactions. In a multi-issue negotiation, it involves inferring the relative…
Towards Emotion-Aware Agents For Negotiation Dialogues
Kushal Chawla, Rene Clever, Jaysa Ramirez +2
Negotiation is a complex social interaction that encapsulates emotional encounters in human decision-making. Virtual agents that can negotiate with humans are useful in pedagogy an…
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems
Kushal Chawla, Jaysa Ramirez, Rene Clever +3
Automated systems that negotiate with humans have broad applications in pedagogy and conversational AI. To advance the development of practical negotiation systems, we present CaSi…
LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets
Abhilasha Sancheti, Kushal Chawla, Gaurav Verma
We describe our system for WNUT-2020 shared task on the identification of informative COVID-19 English tweets. Our system is an ensemble of various machine learning methods, levera…
Pilot: Winner of the Human-Agent Negotiation Challenge at IJCAI 2020
Kushal Chawla, Gale Lucas
This document describes our agent Pilot, winner of the Human-Agent Negotiation Challenge at ANAC, IJCAI 2020. Pilot is a virtual human that participates in a sequence of three nego…
Exploring Early Prediction of Buyer-Seller Negotiation Outcomes
Kushal Chawla, Gale Lucas, Jonathan May +1
Agents that negotiate with humans find broad applications in pedagogy and conversational AI. Most efforts in human-agent negotiations rely on restrictive menu-driven interfaces for…
Generating summaries tailored to target characteristics
Kushal Chawla, Hrituraj Singh, Arijit Pramanik +2
Recently, research efforts have gained pace to cater to varied user preferences while generating text summaries. While there have been attempts to incorporate a few handpicked char…
Improving generation quality of pointer networks via guided attention
Kushal Chawla, Kundan Krishna, Balaji Vasan Srinivasan
Pointer generator networks have been used successfully for abstractive summarization. Along with the capability to generate novel words, it also allows the model to copy from the i…
Forecasting Granular Audience Size for Online Advertising
Ritwik Sinha, Dhruv Singal, Pranav Maneriker +4
Orchestration of campaigns for online display advertising requires marketers to forecast audience size at the granularity of specific attributes of web traffic, characterized by th…
Aff2Vec: Affect--Enriched Distributional Word Representations
Sopan Khosla, Niyati Chhaya, Kushal Chawla
Human communication includes information, opinions, and reactions. Reactions are often captured by the affective-messages in written as well as verbal communications. While there h…
Investigating how well contextual features are captured by bi-directional recurrent neural network models
Kushal Chawla, Sunil Kumar Sahu, Ashish Anand
Learning algorithms for natural language processing (NLP) tasks traditionally rely on manually defined relevant contextual features. On the other hand, neural network models using…