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Found 5 papers, 2 papers with code
Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs
We conduct extensive experiments on both external and internal uncertainty detection, demonstrating that our Semantic Volume method consistently outperforms existing baselines in both tasks.
DARD: A Multi-Agent Approach for Task-Oriented Dialog Systems
Task-oriented dialogue systems are essential for applications ranging from customer service to personal assistants and are widely used across various industries.
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
We address this gap by presenting a novel ensemble algorithm derived from the 2022 Ischemic Stroke Lesion Segmentation (ISLES) challenge.
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation
Our approach is based on a mutual learning strategy that incorporates two modules: the Cross-sample Mutual Attention Module (CMA) and the Omni-Correlation Consistency Module (OCC).
PATCorrect: Non-autoregressive Phoneme-augmented Transformer for ASR Error Correction
However, efficient models that meet the low latency requirements of industrial grade production systems have not been well studied.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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