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adaptive discretization 1combinatorial bandits 1confidence bounds 1continuous outcomes 1sublinear regret 1

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20242026
most citedBenefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

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cs.GT2026

Mechanism Design for LLM Fine-tuning with Multiple Reward Models

Haoran Sun, Yurong Chen, Siwei Wang +3

Fine-tuning large language models (LLMs) to aggregate multiple preferences has attracted considerable research attention. With aggregation algorithms advancing, a potential economi…