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Research#Music Transcription🔬 ResearchAnalyzed: Jan 10, 2026 10:41

Uncovering Biases in Deep Music Transcription Models

Published:Dec 16, 2025 17:12
1 min read
ArXiv

Analysis

This ArXiv paper provides a systematic analysis of sound and music biases present in deep music transcription models, which is crucial for building robust and fair AI systems. The research contributes to the growing need for understanding and mitigating biases in AI, particularly within the audio processing domain.
Reference

“The paper likely focuses on the biases present within deep learning models used for music transcription.”

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Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 08:26

Bias in, Bias out: Annotation Bias in Multilingual Large Language Models

Published:Nov 18, 2025 17:02
1 min read
ArXiv

Analysis

The article likely discusses how biases present in the data used to train multilingual large language models (LLMs) can lead to biased outputs. It probably focuses on annotation bias, where the way data is labeled or annotated introduces prejudice into the model's understanding and generation of text. The research likely explores the implications of these biases across different languages and cultures.
Reference

“Without specific quotes from the article, it's impossible to provide a relevant one. This section would ideally contain a direct quote illustrating the core argument or a key finding.”

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