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20242026
most citedCOLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

5 citations · 6 across the 13 of their papers we have counts for

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cs.SD2026

Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning

Fangxu Yu, Tao Feng, Dehai Min +6

Audio reasoning is essential for machine understanding of the acoustic world. Reinforcement learning with verifiable rewards can elicit such reasoning, yet existing reward designs…