fly51fly (@fly51fly)

2026년 UC Berkeley 연구진(T A Qiu, M Carroll, C Allen)의 arXiv 논문 'Truthfulness Despite Weak Supervision'은 약한 감독 환경에서 동료 예측(peer prediction)을 활용해 대형언어모델(LLM)의 진실성(truthfulness)을 평가하고 훈련하는 방법을 제안·검증합니다. 약한 라벨링 상황에서도 진실성 개선을 노린 평가·학습 프레임워크 연구입니다.

https://x.com/fly51fly/status/2016990237097144576

#truthfulness #weaksupervision #llm #peerprediction #research

🤖 How can probabilistic #MachineLearning and weak supervision enhance your #AI models?

Our blog explores how these techniques improve data efficiency and model accuracy, even with limited labeled data: https://ter.li/bi1z53

#WeakSupervision #TechInnovation

Referenced link: https://hackernoon.com/building-ai-applications-collaboratively-using-data-centric-ai-snorkel-ai
Discuss on https://discu.eu/q/https://hackernoon.com/building-ai-applications-collaboratively-using-data-centric-ai-snorkel-ai

Originally posted by HackerNoon | Learn Any Technology / @[email protected]: https://twitter.com/hackernoon/status/1572984084355321857#m

"Building AI Applications Collaboratively Using Data-centric AI - Snorkel AI" https://hackernoon.com/building-ai-applications-collaboratively-using-data-centric-ai-snorkel-ai #datacentricai #weaksupervision