A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward models and learning strategies across training, inference, and post-inference stages.
☆74Jun 13, 2025Updated last year
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- Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".