Evaluating Sycophancy in Chinese Large Language Models on Factual Questions Derived from Online Search Queries

arXiv:2609.30986 · cs.CL · Submitted 2026-09-25 · Read on arXiv

cs.CL

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Sycophancy — 107× in this paper · explained in 4 episodes
• Accuracy — 30× in this paper · explained in 1 episode
• Robustness — 10× in this paper · explained in 5 episodes
• Abstention — 2× in this paper · explained in 1 episode
• Accountability — 1× in this paper · explained in 2 episodes
• Adaptive Reasoning — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Evaluating Reliability Asymmetries in Chinese Factual Search and AI Answers
• Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
• Simple synthetic data reduces sycophancy in large language models

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