10 citations · 14 across the 9 of their papers we have counts for
9 papers
FLEx: Language Modeling with Few-shot Language Explanations
Adar Avsian, Christopher Richardson, Anirudh Sundar +1
Language models have become effective at a wide range of tasks, from math problem solving to open-domain question answering. However, they still make mistakes, and these mistakes a…
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking
Christopher Richardson, Roshan Sharma, Neeraj Gaur +3
Zero-shot domain adaptation for dialogue state tracking (DST) remains a challenging problem in task-oriented dialogue (TOD) systems, where models must generalize to target domains…
cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers
Anirudh Sundar, Jin Xu, William Gay +2
An emerging area of research in situated and multimodal interactive conversations (SIMMC) includes interactions in scientific papers. Since scientific papers are primarily composed…
iTBLS: A Dataset of Interactive Conversations Over Tabular Information
Anirudh Sundar, Christopher Richardson, Adar Avsian +1
This paper introduces Interactive Tables (iTBLS), a dataset of interactive conversations that focuses on natural-language manipulation of tabular information sourced from academic…
gTBLS: Generating Tables from Text by Conditional Question Answering
Anirudh Sundar, Christopher Richardson, Larry Heck
Distilling large, unstructured text into a structured, condensed form such as tables is an open research problem. One of the primary challenges in automatically generating tables i…
Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models
Chris Richardson, Yao Zhang, Kellen Gillespie +5
Personalization, the ability to tailor a system to individual users, is an essential factor in user experience with natural language processing (NLP) systems. With the emergence of…
SYNDICOM: Improving Conversational Commonsense with Error-Injection and Natural Language Feedback
Christopher Richardson, Anirudh Sundar, Larry Heck
Commonsense reasoning is a critical aspect of human communication. Despite recent advances in conversational AI driven by large language models, commonsense reasoning remains a cha…
Learning to Retrieve Engaging Follow-Up Queries
Christopher Richardson, Sudipta Kar, Anjishnu Kumar +4
Open domain conversational agents can answer a broad range of targeted queries. However, the sequential nature of interaction with these systems makes knowledge exploration a lengt…
Commonsense Reasoning for Conversational AI: A Survey of the State of the Art
Christopher Richardson, Larry Heck
Large, transformer-based pretrained language models like BERT, GPT, and T5 have demonstrated a deep understanding of contextual semantics and language syntax. Their success has ena…