English
Related papers

Related papers: Large Language Models as Misleading Assistants in …

200 papers

Conversations with LMs involve two participants: a human user leading the conversation, and an LM assistant responding to the user's request. To satisfy this specific role, LMs are post-trained to be helpful assistants -- optimized to…

Computation and Language · Computer Science 2026-03-24 Tarek Naous , Philippe Laban , Wei Xu , Jennifer Neville

People tell lies when seeking rewards. Large language models (LLMs) are aligned to human values with reinforcement learning where they get rewards if they satisfy human preference. We find that this also induces dishonesty in helpful and…

Computation and Language · Computer Science 2024-06-06 Youcheng Huang , Jingkun Tang , Duanyu Feng , Zheng Zhang , Wenqiang Lei , Jiancheng Lv , Anthony G. Cohn

The remarkable advancements in Multimodal Large Language Models (MLLMs) have not rendered them immune to challenges, particularly in the context of handling deceptive information in prompts, thus producing hallucinated responses under such…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Yusu Qian , Haotian Zhang , Yinfei Yang , Zhe Gan

Recent advancements in natural language processing by large language models (LLMs), such as GPT-4, have been suggested to approach Artificial General Intelligence. And yet, it is still under dispute whether LLMs possess similar reasoning…

Computation and Language · Computer Science 2024-02-02 Eugenio Herrera-Berg , Tomás Vergara Browne , Pablo León-Villagrá , Marc-Lluís Vives , Cristian Buc Calderon

Large Language Models (LLMs) interact with millions of people worldwide in applications such as customer support, education and healthcare. However, their ability to produce deceptive outputs, whether intentionally or inadvertently, poses…

Computation and Language · Computer Science 2025-10-17 Marwa Abdulhai , Ryan Cheng , Aryansh Shrivastava , Natasha Jaques , Yarin Gal , Sergey Levine

Large Language Models (LLMs) are known for their remarkable ability to generate synthesized 'knowledge', such as text documents, music, images, etc. However, there is a huge gap between LLM's and human capabilities for understanding…

Computation and Language · Computer Science 2024-08-14 Vladimir Cherkassky , Eng Hock Lee

The honesty of large language models (LLMs) is a critical alignment challenge, especially as advanced systems with chain-of-thought (CoT) reasoning may strategically deceive humans. Unlike traditional honesty issues on LLMs, which could be…

Artificial Intelligence · Computer Science 2025-06-06 Kai Wang , Yihao Zhang , Meng Sun

Large Language Models (LLMs) are conversational interfaces. As such, LLMs have the potential to assist their users not only when they can fully specify the task at hand, but also to help them define, explore, and refine what they need…

Computation and Language · Computer Science 2025-05-12 Philippe Laban , Hiroaki Hayashi , Yingbo Zhou , Jennifer Neville

This study investigates the capacity of Large Language Models (LLMs) to infer the Big Five personality traits from free-form user interactions. The results demonstrate that a chatbot powered by GPT-4 can infer personality with moderate…

Human-Computer Interaction · Computer Science 2024-05-24 Heinrich Peters , Moran Cerf , Sandra C. Matz

Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained…

Computation and Language · Computer Science 2023-10-25 Xiang Zhang , Senyu Li , Bradley Hauer , Ning Shi , Grzegorz Kondrak

Warning: This research studies AI persuasion and bias amplification that could be misused; all experiments are for safety evaluation. Large Language Models (LLMs) now generate convincing, human-like text and are widely used in content…

Computation and Language · Computer Science 2025-08-25 Saumya Roy

While Large Language Models (LLMs) can amplify online misinformation, they also show promise in tackling misinformation. In this paper, we empirically study the capabilities of three LLMs -- ChatGPT, Gemini, and Claude -- in countering…

Computation and Language · Computer Science 2025-09-29 Adiba Mahbub Proma , Neeley Pate , James Druckman , Gourab Ghoshal , Hangfeng He , Ehsan Hoque

As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using Big Five personality surveys and uncovered a previously…

Artificial Intelligence · Computer Science 2024-11-25 Aadesh Salecha , Molly E. Ireland , Shashanka Subrahmanya , João Sedoc , Lyle H. Ungar , Johannes C. Eichstaedt

Large language models (LLMs) are now deployed at unprecedented scale, assisting millions of users in daily tasks. However, the risk of these models assisting unlawful activities remains underexplored. In this study, we define this high-risk…

Computers and Society · Computer Science 2025-11-27 Xing Wang , Huiyuan Xie , Yiyan Wang , Chaojun Xiao , Huimin Chen , Holli Sargeant , Felix Steffek , Jie Shao , Zhiyuan Liu , Maosong Sun

The trustworthiness of highly capable language models is put at risk when they are able to produce deceptive outputs. Moreover, when models are vulnerable to deception it undermines reliability. In this paper, we introduce a method to…

Computation and Language · Computer Science 2024-05-24 Julius Heitkoetter , Michael Gerovitch , Laker Newhouse

Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate their emerging abilities. In this study, we show that LLMs…

Computation and Language · Computer Science 2023-10-10 Thilo Hagendorff , Sarah Fabi , Michal Kosinski

We explore the ability of large language models (LLMs) to engage in subtle deception through strategically phrasing and intentionally manipulating information. This harmful behavior can be hard to detect, unlike blatant lying or…

Computation and Language · Computer Science 2025-10-02 Atharvan Dogra , Krishna Pillutla , Ameet Deshpande , Ananya B Sai , John Nay , Tanmay Rajpurohit , Ashwin Kalyan , Balaraman Ravindran

Large language models (LLMs) are revolutionizing every aspect of society. They are increasingly used in problem-solving tasks to substitute human assessment and reasoning. LLMs are trained on what humans write and are thus exposed to human…

Software Engineering · Computer Science 2025-10-14 Fengfei Sun , Ningke Li , Kailong Wang , Lorenz Goette

Large Language Models (LLMs) are a transformational technology, fundamentally changing how people obtain information and interact with the world. As people become increasingly reliant on them for an enormous variety of tasks, a body of…

Computers and Society · Computer Science 2025-05-08 Nouar Aldahoul , Hazem Ibrahim , Matteo Varvello , Aaron Kaufman , Talal Rahwan , Yasir Zaki

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow. Specifically, we…