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Pairwise Ranking Outperforms Single-Action RL for Offline Explanation Selection:

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31 Mar
Let the Agent Steer: Closed-Loop Ranking Optimization via Influence Exchange

arXiv:2603.27765v1 Announce Type: new Abstract: Recommendation ranking is fundamentally an influence allocation problem: a sorting formula distributes ranking influence among

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13 May
RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking

arXiv:2605.11151v1 Announce Type: new Abstract: Offline-to-online reinforcement learning (RL) improves sample efficiency by leveraging pre-collected datasets prior to online

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2 Oct
Gradient-Aligned Pair Selection for Personalized Preference Optimization

arXiv:2610.00061v1 Announce Type: new Abstract: Personalizing large language models (LLMs) requires aligning generation behavior with user-specific preferences rather than

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20 Oct
Training-Free Prompt Selection for Efficient Reinforcement Learning With Partial Rollouts

arXiv:2610.24229v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has emerged as a prominent paradigm for training reasoning models, but its

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5 Aug
Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale

arXiv:2608.01050v1 Announce Type: new Abstract: Production LLM agents that select from large skill libraries face a limitation that semantic relevance alone cannot resolve: a

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