Papers with linguistically motivated analysis

1 papers
Do LLMs Understand Dialogues? A Case Study on Dialogue Acts (2025.acl-long)

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Challenge: Large Language Models (LLMs) have shown remarkable performance on many unseen tasks in a zero-shot setting.
Approach: They propose to identify three key pre-tasks essential for accurate DA prediction: Turn Management, Communicative Function Identification, and Dialogue Structure Prediction.
Outcome: The proposed model fails to outperform basic rule-based tasks on three key pre-tasks, and the results suggest that the model is flawed.

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