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20232026
most citedIntegrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

4 citations · 4 across the 6 of their papers we have counts for

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cs.CL2026

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…

cs.CL2024

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…

cs.CL2024

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…

cs.CL2024

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…

cs.CL2024

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…

cs.CL20234 cited

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…