The authors formalize the Frequency Conflict in multiple-solution TTRL, where the same generation frequency statistic is used both to estimate outcome correctness (by treating frequent outcomes as pseudo-labels) and to promote diversity (by upweighting rare outcomes).
Self-verification resolves frequency conflict in multiple-solution test-time RL
MS-TTRL uses outcome-level self-verification to independently estimate correctness, while generation frequency is reserved solely for diversity preservation.
Top University
Zhixia Zhang · Binqian Xu · Huaiyang Wang · Yikun Ban · Dianbo Liu
Beihang University · National University of Singapore
Research Digest··3 min read
The authors identify a 'Frequency Conflict' in test-time reinforcement learning (TTRL) for tasks that admit multiple valid solutions: generation frequency simultaneously serves correctness estimation (favoring frequent outcomes) and diversity preservation (favoring rare outcomes).
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