IntentGrasp benchmark demonstrates that LLMs have low intent understanding capabilities, with most models underperforming random guessing on a challenging subset, but Intentional Fine-Tuning provides large improvements.
Ron Artstein and Massimo Poesio
2 Pith papers cite this work, alongside 167 external citations. Polarity classification is still indexing.
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ModernBERT-labeled analysis of 306k social posts yields six major public-sentiment clusters on Advanced Air Mobility spanning noise, safety, regulation, workforce, drones, and military use.
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IntentGrasp: A Comprehensive Benchmark for Intent Understanding
IntentGrasp benchmark demonstrates that LLMs have low intent understanding capabilities, with most models underperforming random guessing on a challenging subset, but Intentional Fine-Tuning provides large improvements.
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From Sentiment to Actionable Insights: Public Sentiment Analysis of Advanced Air Mobility
ModernBERT-labeled analysis of 306k social posts yields six major public-sentiment clusters on Advanced Air Mobility spanning noise, safety, regulation, workforce, drones, and military use.