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In the ICLR 2026 💡Spotlight paper💡 of Zhiliang Chen Xinyuan, we consider the setting where we need to select the optimal LLM response at every conversation turn to maximize the cumulative rewards of a conversation 💬 with humans (e.g., safety 🚧, engagement💃🏼).

Introducing WaterDrum🛢️, the first data-centric #LLM #unlearning metric that leverages robust text #watermarking💧to provide an effective, practical, and resilient way to evaluate LLM unlearning performance😉! (1/n) #MachineUnlearning #LLMs