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20242026
most citedEnhancing LLM-Based Text Classification in Political Science: Automatic Prompt Optimization and Dynamic Exemplar Selection for Few-Shot Learning

1 citations · 1 across the 5 of their papers we have counts for

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cs.CL2026

Are LLMs Positionally Consistent Ordinal Classifiers? A Systematic Evaluation

Yu Wang, Zhe Zhou, Menglin Liu +1

Large language models are increasingly used for ordinal classification, yet semantically equivalent changes to prompt organization can alter their predictions. We conduct systemati…

cs.AI2026

Long-Horizon Plan Execution in Large Tool Spaces through Entropy-Guided Branching

Rongzhe Wei, Ge Shi, Min Cheng +5

Large Language Models (LLMs) have significantly advanced tool-augmented agents, enabling autonomous reasoning via API interactions. However, executing multi-step tasks within massi…