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Merging existing expert capabilities can yield significant performance boosts, but choosing the right fusion method can make all the difference in multi-domain reinforcement learning.
Most RLVR datasets are just remixes of a few originals, and this paper shows how to trace them back to their source, revealing widespread data contamination.
Pass-rate-1 prompts got you down? Composition-RL boosts LLM reasoning by automatically composing multiple problems into new verifiable questions, making better use of your existing data.
