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Persuasion with Large Language Models: a Survey

Persuasion with Large Language Models: a Survey

11 November 2024
Alexander Rogiers
Sander Noels
Maarten Buyl
Tijl De Bie
ArXiv (abs)PDFHTML

Papers citing "Persuasion with Large Language Models: a Survey"

14 / 14 papers shown
Title
Beyond One-Way Influence: Bidirectional Opinion Dynamics in Multi-Turn Human-LLM Interactions
Beyond One-Way Influence: Bidirectional Opinion Dynamics in Multi-Turn Human-LLM Interactions
Yuyang Jiang
Longjie Guo
Yuchen Wu
Aylin Caliskan
Tanu Mitra
Hua Shen
96
1
0
22 Oct 2025
A Multilingual, Large-Scale Study of the Interplay between LLM Safeguards, Personalisation, and Disinformation
A Multilingual, Large-Scale Study of the Interplay between LLM Safeguards, Personalisation, and Disinformation
João A. Leite
Arnav Arora
Silvia Gargova
João Luz
Gustavo Sampaio
Ian Roberts
Carolina Scarton
Kalina Bontcheva
159
0
0
14 Oct 2025
Structuring Collective Action with LLM-Guided Evolution: From Ill-Structured Problems to Executable Heuristics
Structuring Collective Action with LLM-Guided Evolution: From Ill-Structured Problems to Executable Heuristics
Kevin Bradley Dsouza
Graham Alexander Watt
Yuri Leonenko
Juan Moreno-Cruz
119
0
0
24 Sep 2025
Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD
Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD
Bryan Chen Zhengyu Tan
Daniel Wai Kit Chin
Zhengyuan Liu
Nancy F. Chen
Roy Ka-Wei Lee
AAML
300
2
0
24 Aug 2025
PRISON: Unmasking the Criminal Potential of Large Language Models
PRISON: Unmasking the Criminal Potential of Large Language Models
Xinyi Wu
Geng Hong
Pei Chen
Yueyue Chen
Xudong Pan
Min Yang
238
1
0
19 Jun 2025
It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics
It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics
Matthew Kowal
Jasper Timm
Jean-Francois Godbout
Thomas Costello
Antonio A. Arechar
Gordon Pennycook
David G. Rand
Adam Gleave
Kellin Pelrine
226
3
0
03 Jun 2025
ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind
ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind
Peixuan Han
Zijia Liu
Jiaxuan You
LLMAG
249
3
0
29 May 2025
Must Read: A Systematic Survey of Computational Persuasion
Must Read: A Systematic Survey of Computational Persuasion
Nimet Beyza Bozdag
Shuhaib Mehri
Xiaocheng Yang
Xiaomeng Jin
Zirui Cheng
Esin Durmus
Jiaxuan You
Heng Ji
Gokhan Tur
Dilek Hakkani-Tur
455
8
0
12 May 2025
LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models
LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models
Minqian Liu
Zhiyang Xu
Xinyi Zhang
Heajun An
Sarvech Qadir
...
Pamela J. Wisniewski
Jin-Hee Cho
Sang Won Lee
Ruoxi Jia
Lifu Huang
292
9
0
14 Apr 2025
Can (A)I Change Your Mind?
Can (A)I Change Your Mind?
Miriam Havin
Timna Wharton Kleinman
Moran Koren
Yaniv Dover
Ariel Goldstein
283
1
0
03 Mar 2025
Persuasion Should be Double-Blind: A Multi-Domain Dialogue Dataset With Faithfulness Based on Causal Theory of Mind
Persuasion Should be Double-Blind: A Multi-Domain Dialogue Dataset With Faithfulness Based on Causal Theory of Mind
Dingyi Zhang
Deyu Zhou
178
5
0
28 Feb 2025
Among Them: A game-based framework for assessing persuasion capabilities of LLMs
Among Them: A game-based framework for assessing persuasion capabilities of LLMsPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
Mateusz Idziejczak
Vasyl Korzavatykh
Mateusz Stawicki
Andrii Chmutov
Marcin Korcz
Iwo Błądek
Dariusz Brzezinski
LLMAG
284
2
0
27 Feb 2025
Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive LanguageNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Amalie Brogaard Pauli
Isabelle Augenstein
Ira Assent
199
17
0
24 Feb 2025
Lies, Damned Lies, and Distributional Language Statistics: Persuasion
  and Deception with Large Language Models
Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Cameron R. Jones
Benjamin Bergen
439
12
0
22 Dec 2024
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