Papers with temporal progression

2 papers
A Taxonomy of Empathetic Response Intents in Human Social Conversations (2020.coling-main)

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Challenge: Open-domain conversational agents or chatbots are becoming increasingly popular in the natural language processing community.
Approach: They aim to combine dialogue act/intent modelling and neural response generation to produce a large-scale taxonomy for empathetic response intents.
Outcome: The proposed method improves the response quality of chatbots and makes them more controllable and interpretable.
Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction (2025.findings-emnlp)

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Challenge: Recent advances in large language models have shown potential in clinical text summarization, but their ability to handle long patient trajectories with multi-modal data spread across time remains underexplored.
Approach: They evaluate open-source large language models, their Retrieval Augmented Generation variants and chain-of-thought prompting on long-context clinical summarization and prediction.
Outcome: The proposed models can synthesize structured and unstructured EHR data while reasoning over temporal coherence.

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