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The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting
  User Questions About Human or Non-Human Identity

The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity

Annual Meeting of the Association for Computational Linguistics (ACL), 2021
4 June 2021
David Gros
Yu Li
Zhou Yu
    DeLMO
ArXiv (abs)PDFHTML

Papers citing "The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity"

11 / 11 papers shown
A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies
A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language TechnologiesInternational Conference on Human Factors in Computing Systems (CHI), 2025
Alicia DeVrio
Myra Cheng
Lisa Egede
Alexandra Olteanu
Su Lin Blodgett
414
11
0
14 Feb 2025
From Pixels to Personas: Investigating and Modeling
  Self-Anthropomorphism in Human-Robot Dialogues
From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot DialoguesConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yu Li
Devamanyu Hazarika
Di Jin
Julia Hirschberg
Yang Liu
175
2
0
04 Oct 2024
The Past, Present and Better Future of Feedback Learning in Large
  Language Models for Subjective Human Preferences and Values
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and ValuesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hannah Rose Kirk
Andrew M. Bean
Bertie Vidgen
Paul Röttger
Scott A. Hale
ALM
355
61
0
11 Oct 2023
Mirages: On Anthropomorphism in Dialogue Systems
Mirages: On Anthropomorphism in Dialogue Systems
Gavin Abercrombie
Amanda Cercas Curry
Tanvi Dinkar
Verena Rieser
Zeerak Talat
269
52
0
16 May 2023
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for
  Verification
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification
Marco Casadio
Luca Arnaboldi
M. Daggitt
Omri Isac
Tanvi Dinkar
Daniel Kienitz
Verena Rieser
Ekaterina Komendantskaya
253
5
0
06 May 2023
Personalisation within bounds: A risk taxonomy and policy framework for
  the alignment of large language models with personalised feedback
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Hannah Rose Kirk
Bertie Vidgen
Paul Röttger
Scott A. Hale
295
123
0
09 Mar 2023
Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in
  Dialog Systems
Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in Dialog SystemsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
David Gros
Yu Li
Zhou Yu
157
13
0
22 Oct 2022
The State of Profanity Obfuscation in Natural Language Processing
The State of Profanity Obfuscation in Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Debora Nozza
Dirk Hovy
239
8
0
14 Oct 2022
A Comprehensive Survey of Natural Language Generation Advances from the
  Perspective of Digital Deception
A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception
Keenan I. Jones
Enes ALTUNCU
V. N. Franqueira
Yi-Chia Wang
Shujun Li
DeLMO
200
4
0
11 Aug 2022
Why Robust Natural Language Understanding is a Challenge
Why Robust Natural Language Understanding is a Challenge
Marco Casadio
Ekaterina Komendantskaya
Verena Rieser
M. Daggitt
Daniel Kienitz
Luca Arnaboldi
Wen Kokke
OODAAML
176
0
0
21 Jun 2022
Recent Advances in Neural Text Generation: A Task-Agnostic Survey
Recent Advances in Neural Text Generation: A Task-Agnostic Survey
Chen Tang
Frank Guerin
Chenghua Lin
AI4CEOOD
352
20
0
06 Mar 2022
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