:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Heitkoetter, Julius, Gerovitch, Michael, Newhouse, Laker
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2405.12999
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

To Tell The Truth: Language of Deception and Language Models
by: Hazra, Sanchaita, et al.
Published: (2023)

Seamless Deception: Larger Language Models Are Better Knowledge Concealers
by: Ashok, Dhananjay, et al.
Published: (2026)

Unmasking the Shadows of AI: Investigating Deceptive Capabilities in Large Language Models
by: Guo, Linge
Published: (2024)

Deceptive Automated Interpretability: Language Models Coordinating to Fool Oversight Systems
by: Lermen, Simon, et al.
Published: (2025)

The Point of No Return: Counterfactual Localization of Deceptive Commitment in Language-Model Reasoning
by: Merrill, Scott, et al.
Published: (2026)

Deception Abilities Emerged in Large Language Models
by: Hagendorff, Thilo
Published: (2023)

Compromising Honesty and Harmlessness in Language Models via Deception Attacks
by: Vaugrante, Laurène, et al.
Published: (2025)

From Deception to Detection: The Dual Roles of Large Language Models in Fake News
by: Sallami, Dorsaf, et al.
Published: (2024)

Too Big to Fool: Resisting Deception in Language Models
by: Samsami, Mohammad Reza, et al.
Published: (2024)

Jailbreaking Frontier Foundation Models Through Intention Deception
by: Wang, Xinhe, et al.
Published: (2026)

Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
by: Domnich, Marharyta, et al.
Published: (2024)

LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models
by: Olson, Matthew Lyle, et al.
Published: (2026)

OpenDeception: Learning Deception and Trust in Human-AI Interaction via Multi-Agent Simulation
by: Wu, Yichen, et al.
Published: (2025)

Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
by: Chen, Zixin, et al.
Published: (2025)

Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
by: Li, Bangzheng, et al.
Published: (2023)

Exploitation Without Deception: Dark Triad Feature Steering Reveals Separable Antisocial Circuits in Language Models
by: Berg, Cameron, et al.
Published: (2026)

Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant
by: Järviniemi, Olli, et al.
Published: (2024)

SafetyNet: Detecting Harmful Outputs in LLMs by Modeling and Monitoring Deceptive Behaviors
by: Chaudhary, Maheep, et al.
Published: (2025)

Evaluating & Reducing Deceptive Dialogue From Language Models with Multi-turn RL
by: Abdulhai, Marwa, et al.
Published: (2025)

Modular Duality in Deep Learning
by: Bernstein, Jeremy, et al.
Published: (2024)

DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios
by: Huang, Yao, et al.
Published: (2025)

Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication
by: Ahmad, Arif, et al.
Published: (2024)

Detecting Linguistic Indicators for Stereotype Assessment with Large Language Models
by: Görge, Rebekka, et al.
Published: (2025)

This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs
by: Wolf, Lorenz, et al.
Published: (2025)

MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews
by: Ignat, Oana, et al.
Published: (2024)

When Thinking LLMs Lie: Unveiling the Strategic Deception in Representations of Reasoning Models
by: Wang, Kai, et al.
Published: (2025)

SPADE-Bench: Evaluating Spontaneous Strategic Deception in Agents via Plan-Action Divergence
by: Bu, Yuyan, et al.
Published: (2026)

NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers
by: Lopez, Angel Yahir Loredo, et al.
Published: (2024)

Theory of Mind in Large Language Models: Assessment and Enhancement
by: Chen, Ruirui, et al.
Published: (2025)

Pooling Attention: Evaluating Pretrained Transformer Embeddings for Deception Classification
by: Mamtani, Sumit, et al.
Published: (2025)

Large Language Models for Medical OSCE Assessment: A Novel Approach to Transcript Analysis
by: Shakur, Ameer Hamza, et al.
Published: (2024)

Large Language Models for Mathematicians
by: Frieder, Simon, et al.
Published: (2023)

The dynamics of meaning through time: Assessment of Large Language Models
by: Alrefaie, Mohamed Taher, et al.
Published: (2025)

A Novel Computational and Modeling Foundation for Automatic Coherence Assessment
by: Maimon, Aviya, et al.
Published: (2023)

Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
by: Cui, Tianyu, et al.
Published: (2024)

A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models
by: Yang, Xiulin, et al.
Published: (2026)

Depression Risk Assessment in Social Media via Large Language Models
by: Gulino, Giorgia, et al.
Published: (2026)

Detecting Deceptive Dark Patterns in E-commerce Platforms
by: Ramteke, Arya, et al.
Published: (2024)

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
by: Naous, Tarek, et al.
Published: (2023)

Empathy Is Not What Changed: Clinical Assessment of Psychological Safety Across GPT Model Generations
by: Keeman, Michael, et al.
Published: (2026)