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Found 6 papers, 0 papers with code
Learning and Evaluating a Differentially Private Pre-trained Language Model
One method to guarantee the privacy of such individuals is to train a differentially-private language model, but this usually comes at the expense of model performance.
LLMs Accelerate Annotation for Medical Information Extraction
The results highlight the potential of using LLMs to improve the utilization of unstructured clinical data, allowing for the swift deployment of tailored NLP solutions in healthcare.
Surfacing Biases in Large Language Models using Contrastive Input Decoding
We use CID to highlight context-specific biases that are hard to detect with standard decoding strategies and quantify the effect of different input perturbations.
Useful Confidence Measures: Beyond the Max Score
An important component in deploying machine learning (ML) in safety-critic applications is having a reliable measure of confidence in the ML model's predictions.
Audio De-identification - a New Entity Recognition Task
To this end, we define the task of audio de-ID, in which audio spans with entity mentions should be detected.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Audio De-identification: A New Entity Recognition Task
To this end, we define the task of audio de-ID, in which audio spans with entity mentions should be detected.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
