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Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context

arXiv cs.CL · 2026-04-23 Cached

Amazon and Stanford researchers propose Quantile Token Regression, inserting dedicated quantile tokens into LLM inputs to predict full probability distributions, achieving ~4 point MAPE reduction and 2× narrower intervals on Airbnb and Stack Overflow benchmarks.

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