Cover Image

Sycophancy in Large Language Models: Causes and Mitigations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Malmqvist, Lars
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models
by: Pandey, Sanskar, et al.
Published: (2025)

Not Your Typical Sycophant: The Elusive Nature of Sycophancy in Large Language Models
by: Natan, Shahar Ben, et al.
Published: (2026)

Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
by: Christian, Brian, et al.
Published: (2026)

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
by: Denison, Carson, et al.
Published: (2024)

Sycophancy in Vision-Language Models: A Systematic Analysis and an Inference-Time Mitigation Framework
by: Zhao, Yunpu, et al.
Published: (2024)

Winning at All Cost: A Small Environment for Eliciting Specification Gaming Behaviors in Large Language Models
by: Malmqvist, Lars
Published: (2025)

Accounting for Sycophancy in Language Model Uncertainty Estimation
by: Sicilia, Anthony, et al.
Published: (2024)

MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models
by: Hu, Jingyu, et al.
Published: (2025)

Towards Understanding Sycophancy in Language Models
by: Sharma, Mrinank, et al.
Published: (2023)

Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models
by: Shah, Arya, et al.
Published: (2026)

BASIL: Bayesian Assessment of Sycophancy in LLMs
by: Atwell, Katherine, et al.
Published: (2025)

Sycophancy Hides Linearly in the Attention Heads
by: Genadi, Rifo, et al.
Published: (2026)

Internal Reasoning vs. External Control: A Thermodynamic Analysis of Sycophancy in Large Language Models
by: Chang, Edward Y.
Published: (2025)

An Evolutionary Large Language Model for Hallucination Mitigation
by: Boulesnane, Abdennour, et al.
Published: (2024)

Cause and Effect: Can Large Language Models Truly Understand Causality?
by: Ashwani, Swagata, et al.
Published: (2024)

Locating and Mitigating Gender Bias in Large Language Models
by: Cai, Yuchen, et al.
Published: (2024)

Copy-Paste to Mitigate Large Language Model Hallucinations
by: Long, Yongchao, et al.
Published: (2025)

Theoretical Foundations and Mitigation of Hallucination in Large Language Models
by: Gumaan, Esmail
Published: (2025)

Reasoning Isn't Enough: Examining Truth-Bias and Sycophancy in LLMs
by: Barkett, Emilio, et al.
Published: (2025)

Likelihood-based Mitigation of Evaluation Bias in Large Language Models
by: Oi, Masanari, et al.
Published: (2024)

Multi-Persona Thinking for Bias Mitigation in Large Language Models
by: Chen, Yuxing, et al.
Published: (2026)

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
by: Feng, Yijun
Published: (2025)

From Sycophancy to Sensemaking: Premise Governance for Human-AI Decision Making
by: Jain, Raunak
Published: (2026)

Benchmarking and Mitigating Sycophancy in Medical Vision Language Models
by: Xu, Juangui, et al.
Published: (2025)

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing
by: Chen, Ruizhe, et al.
Published: (2024)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
by: Li, Mingda, et al.
Published: (2024)

Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
by: Huang, Jianheng, et al.
Published: (2024)

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

Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
by: Sumita, Yasuaki, et al.
Published: (2024)

Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
by: Huang, Cheng Peng, et al.
Published: (2025)

Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
by: Khadangi, Afshin, et al.
Published: (2025)

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation
by: Zhang, Yichi, et al.
Published: (2025)

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
by: Zhang, Tao, et al.
Published: (2024)

Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models
by: Ramakrishnan, Badrinath, et al.
Published: (2025)

Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models
by: Yang, Hao, et al.
Published: (2025)

MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination
by: Jia, Ao, et al.
Published: (2025)

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
by: Ding, Fei, et al.
Published: (2025)

Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning
by: Zhang, Chaowei, et al.
Published: (2026)

Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)