output
20172026
most citedFactuality Challenges in the Era of Large Language Models

163 citations

Showing 2023Show all

8 papers · 1 filter

cs.HC2023★ 22 cited

"It doesn't tell me anything about how my data is used'': User Perceptions of Data Collection Purposes

Lin Kyi, Abraham Mhaidli, Cristiana Santos +2

Data collection purposes and their descriptions are presented on almost all privacy notices under the GDPR, yet there is a lack of research focusing on how effective they are at in…

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.CY2023★ 91 cited

Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey

Alessandro Fabris, Nina Baranowska, Matthew J. Dennis +5

Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and st…

cs.CR2023

REVERSIM: An Open-Source Environment for the Controlled Study of Human Aspects in Hardware Reverse Engineering

Steffen Becker, René Walendy, Markus Weber +3

Hardware Reverse Engineering (HRE) is a technique for analyzing integrated circuits. Experts employ HRE for security-critical tasks, like detecting Trojans or intellectual property…

cs.HC2023★ 5 cited

52 Weeks Later: Attitudes Towards COVID-19 Apps for Different Purposes Over Time

Marvin Kowalewski, Christine Utz, Martin Degeling +6

The COVID-19 pandemic has prompted countries around the world to introduce smartphone apps to support disease control efforts. Their purposes range from digital contact tracing to…

cs.IR2023★ 9 cited

The Role of Relevance in Fair Ranking

Aparna Balagopalan, Abigail Z. Jacobs, Asia Biega

Online platforms mediate access to opportunity: relevance-based rankings create and constrain options by allocating exposure to job openings and job candidates in hiring platforms,…

cs.PL2023★ 5 cited

Securing Verified IO Programs Against Unverified Code in F*

Cezar-Constantin Andrici, Stefan Ciobaca, Catalin Hritcu +4

We introduce SCIO*, a formally secure compilation framework for statically verified partial programs performing input-output (IO). The source language is an F* subset in which a ve…

cs.CR2023★ 4 cited

Augmented Reality's Potential for Identifying and Mitigating Home Privacy Leaks

Stefany Cruz, Logan Danek, Shinan Liu +6

Users face various privacy risks in smart homes, yet there are limited ways for them to learn about the details of such risks, such as the data practices of smart home devices and…