Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results. Read More
Study: Platforms that rank the latest LLMs can be unreliable
Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.
Related Posts
New prediction model could improve the reliability of fusion power plants
The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak…
Inferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference
Smart wearables enable continuous tracking of established biomarkers such as heart rate, heart rate variability,…
VSSFlow: Unifying Video-conditioned Sound and Speech Generation via Joint Learning
Video-conditioned sound and speech generation, encompassing video-to-sound (V2S) and visual text-to-speech (VisualTTS) tasks, are conventionally…