SyPS: Measuring Sycophancy Prompt Sensitivity in Large Language Models
cs.AI
Submitted: 2026-08-24
Updated: 2026-08-24
Comments: Accepted to Findings of EMNLP 2026
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- ELEPHANT: Measuring and understanding social sycophancy in LLMs
- Ask don't tell: Reducing sycophancy in large language models
- Intersectional Sycophancy: How Perceived User Demographics Shape False Validation in Large Language Models
- Towards Understanding Sycophancy in Language Models
- FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
- PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
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