Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pandey, Sanskar, Chopra, Ruhaan, Puniya, Angkul, Pal, Sohom
Format:	Preprint
Published:	2025
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

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

Hecto: Modular Sparse Experts for Adaptive and Interpretable Reasoning
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)

A Mechanistic Investigation of Supervised Fine Tuning
by: Chopra, Ruhaan
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)

Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
by: Li, Yubo, et al.
Published: (2025)

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

Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models
by: Bisconti, Piercosma, et al.
Published: (2025)

Evaluating Consistency and Reasoning Capabilities of Large Language Models
by: Saxena, Yash, 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)

Long Context Compression with Activation Beacon
by: Zhang, Peitian, et al.
Published: (2024)

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)

TurnWise: The Gap between Single- and Multi-turn Language Model Capabilities
by: Graf, Victoria, et al.
Published: (2026)

Chronocept: Instilling a Sense of Time in Machines
by: Goel, Krish, et al.
Published: (2025)

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)

Fault Diagnosis in Power Grids with Large Language Model
by: Jing, Liu, et al.
Published: (2024)

On the Failure of Latent State Persistence in Large Language Models
by: Huang, Jen-tse, et al.
Published: (2025)

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)

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

Words as Beacons: Guiding RL Agents with High-Level Language Prompts
by: Ruiz-Gonzalez, Unai, et al.
Published: (2024)

PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay
by: Khetan, Rohan, et al.
Published: (2026)

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference
by: Yu, Erxin, et al.
Published: (2024)

Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles
by: Sun, Xiongtao, et al.
Published: (2024)

Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue
by: Zhou, Zhenhong, et al.
Published: (2024)

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

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models
by: Zhu, Yakun, et al.
Published: (2025)

Large Language Models for Disease Diagnosis: A Scoping Review
by: Zhou, Shuang, et al.
Published: (2024)

Interpretable Differential Diagnosis with Dual-Inference Large Language Models
by: Zhou, Shuang, et al.
Published: (2024)

Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia
by: Castagnari, Elisa, et al.
Published: (2024)

Unlocking the Working Memory of Large Language Models for Latent Reasoning
by: Aichberger, Lukas, et al.
Published: (2026)

On Effects of Steering Latent Representation for Large Language Model Unlearning
by: Huu-Tien, Dang, et al.
Published: (2024)

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

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