Cover Image

Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Christian, Brian, Mazor, Matan
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
by: Ghosh, Rajarshi, et al.
Published: (2025)

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
by: Pang, Xianghe, et al.
Published: (2024)

Sycophancy in Large Language Models: Causes and Mitigations
by: Malmqvist, Lars
Published: (2024)

A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)

PRISM: A Methodology for Auditing Biases in Large Language Models
by: Azzopardi, Leif, et al.
Published: (2024)

Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)

No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
by: Chand, Shireen, et al.
Published: (2025)

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

Large Language Models Develop Novel Social Biases Through Adaptive Exploration
by: Wu, Addison J., et al.
Published: (2025)

White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
by: Wan, Yixin, et al.
Published: (2024)

"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
by: Ding, Junchen, et al.
Published: (2025)

Interpreting Public Sentiment in Diplomacy Events: A Counterfactual Analysis Framework Using Large Language Models
by: Ouyang, Leyi
Published: (2025)

Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
by: Ren, Ruiping, et al.
Published: (2024)

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

SWAY: A Counterfactual Computational Linguistic Approach to Measuring and Mitigating Sycophancy
by: Bhalla, Joy, et al.
Published: (2026)

IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
by: Bai, Yuzhuo, et al.
Published: (2025)

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
by: Suzgun, Mirac, et al.
Published: (2024)

Decoding the Mind of Large Language Models: A Quantitative Evaluation of Ideology and Biases
by: Hirose, Manari, et al.
Published: (2025)

Reward Models Inherit Value Biases from Pretraining
by: Christian, Brian, et al.
Published: (2026)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
by: Gallegos, Isabel O., et al.
Published: (2024)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
by: Ebrahimi, Sana, et al.
Published: (2024)

Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey Responses
by: Rupprecht, Jens, et al.
Published: (2025)

Large Language Models Show Human-like Social Desirability Biases in Survey Responses
by: Salecha, Aadesh, et al.
Published: (2024)

Authorship Without Writing: Large Language Models and the Senior Author Analogy
by: Hurshman, Clint, et al.
Published: (2025)

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
by: Li, Kun, et al.
Published: (2024)

Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
by: Feng, Duanyu, et al.
Published: (2023)

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task
by: Molinaro, Gaia, et al.
Published: (2026)

Mitigating Gambling-Like Risk-Taking Behaviors in Large Language Models: A Behavioral Economics Approach to AI Safety
by: Du, Y.
Published: (2025)

Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
by: Marquez-Carpintero, Luis, et al.
Published: (2025)

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025)

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars
by: Hua, Wenyue, et al.
Published: (2023)

Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models
by: Kumar, Abhishek, et al.
Published: (2024)

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
by: Shieh, Evan, et al.
Published: (2024)

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

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

On the Creativity of Large Language Models
by: Franceschelli, Giorgio, et al.
Published: (2023)

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

Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
by: Geng, Mingmeng, et al.
Published: (2024)

Large Language Models as Psychological Simulators: A Methodological Guide
by: Lin, Zhicheng
Published: (2025)