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This equation captures one of the core mathematical components of the system. a rollout generated by πθ, and r(x, y) ∈{0, 1} is a
Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation explores A new framework for reinforcement learning in LLMs that refines exploration by modulating positive and negative rollouts, improving reasoning capabilities.. Commercial viability score: 7/10 in RL for LLMs.
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Canonical ID rethinking-exploration-in-rlvr-from-entropy-regularization-to-refinement-via-bidirectional-entropy-modulation | Route /paper/rethinking-exploration-in-rlvr-from-entropy-regularization-to-refinement-via-bidirectional-entropy-modulation
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/buildability/rethinking-exploration-in-rlvr-from-entropy-regularization-to-refinement-via-bidirectional-entropy-modulation
Subject: Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation
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This equation captures one of the core mathematical components of the system. a rollout generated by πθ, and r(x, y) ∈{0, 1} is a
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Receipt path
/buildability/rethinking-exploration-in-rlvr-from-entropy-regularization-to-refinement-via-bidirectional-entropy-modulation
Paper ref
rethinking-exploration-in-rlvr-from-entropy-regularization-to-refinement-via-bidirectional-entropy-modulation
arXiv id
2604.04894
Generated at
2026-04-07T20:13:34.907Z
Evidence freshness
fresh
Last verification
2026-04-07T20:13:34.907Z
Sources
0
References
0
Coverage
0%
Lineage hash
afccd99087be6b88241fa989e9db738ffd059bb8cd65184b216c26444589316d
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This equation captures one of the core mathematical components of the system. stant baseline (βpos = 0, βneg = 0) and also eval-
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This equation captures one of the core mathematical components of the system. Pos-Only Modulation (βpos = 0.5, βneg =
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