PERCEIVE is the first bilingual benchmark integrating author content, reader emotions from comments, communication behavior, user attributes, and social graphs for personalized social media emotion understanding.
Tree-of-Counterfactual Prompting for Zero-Shot Stance Detection
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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SICI is a new seven-dimensional complexity measure that predicts LLM stance detection accuracy and reveals distinct error regimes (over-attribution, boundary instability, abstention) as complexity rises.
citing papers explorer
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PERCEIVE: A Benchmark for Personalized Emotion and Communication Behavior Understanding on Social Media
PERCEIVE is the first bilingual benchmark integrating author content, reader emotions from comments, communication behavior, user attributes, and social graphs for personalized social media emotion understanding.
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SICI: A Semantic-Pragmatic Complexity Index Reveals Regime Shifts in LLM Stance Detection
SICI is a new seven-dimensional complexity measure that predicts LLM stance detection accuracy and reveals distinct error regimes (over-attribution, boundary instability, abstention) as complexity rises.