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cs.CL2026
Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
Donghao Huang, Zhaoxia Wang
Large language models (LLMs) with reasoning capabilities have fueled a compelling narrative that reasoning universally improves performance across language tasks. We test this clai…
cs.CL2025★ 12 cited
Explainable Sentiment Analysis with DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning
Donghao Huang, Zhaoxia Wang
Large language models (LLMs) have transformed sentiment analysis, yet balancing accuracy, efficiency, and explainability remains a critical challenge. This study presents the first…