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data-labeling

topic2 events
papersTODAY 04:00 UTC

Pretraining Approach Aims to Cut Labeled Data Needs for Brain-Computer Interface Decoders

A new arXiv paper examines pretraining methods for neural decoders used in brain-computer interfaces. Because training a high-performing decoder normally requires large labeled datasets from each new subject, the work targets ways to lower that annotation burden. The abstract is truncated in the source, so full results are not yet available.

brain-computer-interface/pretraining/sample-efficiency/neural-decoding
industryYESTERDAY 16:53 UTC

OpenAI contractors review real ChatGPT conversations to rate responses, report says

According to a report by 404 Media, OpenAI employs hundreds of contract workers who read real ChatGPT conversations and score them from one to seven. One stated goal is curbing sycophantic and overly human-like replies. The prompts are anonymized, though sensitive details may still appear, and users can opt out of having their chats reviewed.

openai/privacy/chatgpt/data-labeling