Think Before You Lie: How Reasoning Improves Honesty

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References (38)

[1]
A roadmap for evaluating moral competence in large language models
2026Julia Haas, Sophie Bridgers et al.
[2]
The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?
2026Alexander Hagele, Aryo Pradipta Gema et al.
[3]
The Illusion of Insight in Reasoning Models
2026L. d'Aliberti, M. Ribeiro
[4]
Difficulties with Evaluating a Deception Detector for AIs
2025Lewis Smith, Bilal Chughtai et al.
[5]
DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios
2025Yao Huang, Yitong Sun et al.
[6]
RL-Obfuscation: Can Language Models Learn to Evade Latent-Space Monitors?
2025Rohan Gupta, Erik Jenner
[7]
AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin
2025Shuo Yang, Qihui Zhang et al.
[8]
Are Language Models Consequentialist or Deontological Moral Reasoners?
2025Keenan Samway, Max Kleiman-Weiner et al.
[9]
Qwen3 Technical Report
2025An Yang, Anfeng Li et al.
[10]
Gemma 3 Technical Report
2025Gemma Team Aishwarya Kamath, Johan Ferret et al.
[11]
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
2025Bowen Baker, Joost Huizinga et al.
[12]
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
2025Fengqing Jiang, Zhangchen Xu et al.
[13]
Deliberative Alignment: Reasoning Enables Safer Language Models
2024Melody Y. Guan, Manas R. Joglekar et al.
[14]
Alignment faking in large language models
2024R. Greenblatt, Carson E. Denison et al.
[15]
DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life
2024Yu Ying Chiu, Liwei Jiang et al.
[16]
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
2024Zayne Sprague, Fangcong Yin et al.
[17]
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents
2024Zhe Su, Xuhui Zhou et al.
[18]
Human Bias in AI Models? Anchoring Effects and Mitigation Strategies in Large Language Models
2024Jeremy Nguyen
[19]
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
2024Sheng-Hsuan Peng, Pin-Yu Chen et al.
[20]
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
2024Huajian Xin, Daya Guo et al.

Showing 20 of 38 references

Founder's Pitch

"A study exploring how reasoning in LLMs can enhance honesty by navigating the representational space of deceptive and honest responses."

NLP ResearchScore: 4View PDF ↗

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