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20032026
most citedFactuality Challenges in the Era of Large Language Models

163 citations · 464 across the 29 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.AI2023★ 2 cited

Human-Centered Planning

Yuliang Li, Nitin Kamra, Ruta Desai +1

LLMs have recently made impressive inroads on tasks whose output is structured, such as coding, robotic planning and querying databases. The vision of creating AI-powered personal…

cs.CL2023★ 163 cited

Factuality Challenges in the Era of Large Language Models

Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15

The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention. These incre…

cs.CL2023★ 1 cited

TimelineQA: A Benchmark for Question Answering over Timelines

Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li +4

Lifelogs are descriptions of experiences that a person had during their life. Lifelogs are created by fusing data from the multitude of digital services, such as online photos, map…

cs.CL2023

Reimagining Retrieval Augmented Language Models for Answering Queries

Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez +4

We present a reality check on large language models and inspect the promise of retrieval augmented language models in comparison. Such language models are semi-parametric, where mo…

cs.MM2023★ 11 cited

Multimodal Neural Databases

Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà +2

The rise in loosely-structured data available through text, images, and other modalities has called for new ways of querying them. Multimedia Information Retrieval has filled this…

cs.CL2023

NormBank: A Knowledge Bank of Situational Social Norms

Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang +2

We present NormBank, a knowledge bank of 155k situational norms. This resource is designed to ground flexible normative reasoning for interactive, assistive, and collaborative AI s…