AfriSyCo: Measuring Assertive Framing, Verification, and Wording Sensitivity Around African-Language Content

arXiv:2609.17853 · cs.CL, cs.AI, cs.LG · Submitted 2026-09-15 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-09-15

Updated: 2026-09-15

Comments: 13 pages, 1 figure, 9 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verification — 54× in this paper · explained in 2 episodes
• Sycophancy — 17× in this paper · explained in 4 episodes
• Robustness — 8× in this paper · explained in 5 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Alignment — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Provenance — 3× in this paper · explained in 3 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes

Sources

• SWAY: A Counterfactual Computational Linguistic Approach to Measuring and Mitigating Sycophancy
• Lugha-Llama: Adapting Large Language Models for African Languages
• Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier
• Gemma 3 Technical Report
• The Llama 3 Herd of Models
• Why LLMs Give In: Conversational Factors and Reasoning Behind Medical Sycophancy
• Qwen3 Technical Report
• What Counts as AI Sycophancy? A Taxonomy and Expert Survey of a Fragmented Construct

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