Distill AI
PaperShared via Distill AI

Decomposing Factual Sycophancy in Language Models: How Size and Instruction Tuning Shape Robustness

SUMMARY
New research decomposes factual sycophancy in language models into truth margin and manipulation sensitivity. Larger models show stronger baseline preferences for truth but greater vulnerability to social pressure manipulation. #llm #ai #ml
Read the paper
Get research like this, matched to your field
Distill AI tracks arXiv, Nature, NeurIPS, CVPR, GitHub, HuggingFace and more — then surfaces the papers that matter to you, every morning. Track any custom topic, get 2-sentence summaries, and chat with any paper.
Try Distill AI — free →
Browse AI research topics →