Understanding LLM Performance Gaps Strategic Implications of Stance Detection and Sentiment Analysis in Small Languages

2026

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AI-generated summary

1) This report is crucial for understanding the performance limitations of Large Language Models (LLMs) in analyzing politically sensitive content across different languages, with direct implications for strategic communication operations.
2) * Explores performance disparities of LLMs in stance detection and sentiment analysis across English, Lithuanian, and Russian.
* Evaluates adaptation strategies like fine-tuning and retrieval-augmented generation (RAG) to close performance gaps.
* Discusses strategic implications, including adversary exploitation and resource allocation for effective AI deployment.
3) LLMs, Stance Detection, Sentiment Analysis, Small Languages, Strategic Communication

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