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Found 4 papers, 4 papers with code
Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type Annotations
We benchmark three foundation models, scGPT, scBERT, and Geneformer, using skewed single-cell cell-type distribution for cell-type annotation.
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition
We introduce a new cross-modal fusion technique designed for generative error correction in automatic speech recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model
In this work, we explore Parameter-Efficient-Learning (PEL) techniques to repurpose a General-Purpose-Speech (GSM) model for Arabic dialect identification (ADI).
LEP-AD: Language Embedding of Proteins and Attention to Drugs predicts drug target interactions
The LEP-AD model scales favorably in performance with the size of training data.
Ranked #1 on
Protein Language Model
on DAVIS-DTA
