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Found 6 papers, 4 papers with code
Query Augmentation by Decoding Semantics from Brain Signals
If the quality of the initially retrieved documents is low, then the effectiveness of query augmentation would be limited as well.
Language Generation from Brain Recordings
Inspired by recent research that revealed associations between the brain and the large computational language models, we propose a generative language BCI that utilizes the capacity of a large language model (LLM) jointly with a semantic brain decoder to directly generate language from functional magnetic resonance imaging (fMRI) input.
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study
To our knowledge, this is the first critical comparison of individual item fairness measures in recommender systems.
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
Medical coding is the task of assigning medical codes to clinical free-text documentation.
Ranked #1 on
Medical Code Prediction
on MIMIC-IV ICD-10
Brain-Supervised Image Editing
Despite recent advances in deep neural models for semantic image editing, present approaches are dependent on explicit human input.
Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals
We introduce a brain-information interface used for recommending information by relevance inferred directly from brain signals.
