most citedPoor Alignment and Steerability of Large Language Models: Evidence from College Admission Essays

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cs.LG2025

MultiScale Contextual Bandits for Long Term Objectives

Richa Rastogi, Yuta Saito, Thorsten Joachims

The feedback that AI systems (e.g., recommender systems, chatbots) collect from user interactions is a crucial source of training data. While short-term feedback (e.g., clicks, eng…

cs.LG2025

Prompt Optimization with Logged Bandit Data

Haruka Kiyohara, Daniel Yiming Cao, Yuta Saito +1

We study how to use naturally available user feedback, such as clicks, to optimize large language model (LLM) pipelines for generating personalized sentences using prompts. Naive a…