Papers with understanding capabilities
Fast and Scalable Expansion of Natural Language Understanding Functionality for Intelligent Agents (N18-3)
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| Challenge: | a recent paper describes efficient deep neural network architectures for expanding natural language capabilities of virtual agents. |
| Approach: | They propose deep neural network architectures that maximize re-use available resources . they use data from Amazon Alexa to accelerate expansion of new natural language domains . |
| Outcome: | The proposed methods increase accuracy in low resource settings and enable rapid development with less data. |
TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage (2024.findings-emnlp)
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| Challenge: | escalation in emergency department patient visits poses challenges to efficient clinical management . Currently, hospitals rely on human experts to review clinical notes and determine case urgency . |
| Approach: | a team of researchers develop a multi-agent framework to enhance collaborative decision-making in clinical triage. |
| Outcome: | The proposed framework outperforms state-of-the-art LLM-based methods on three clinical triage test sets. |