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Kun Liu

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Papers on Lattice

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Red-Teaming & Adversarial Robustness (1)RLHF & Preference Learning (1)Tool Use & Agents (1)

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Papers (1)

Apr 13, 2026

QuantPits.comApr 13, 2026

OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems

Forget RLHF and RLAIF – real-world financial losses are the ultimate, un-hackable alignment signal for multi-agent systems.

Kun Liu, Liqun Chen

Red-Teaming & Adversarial Robustness RLHF & Preference Learning Tool Use & Agents