An evaluation of early answers must choose which questions to release and how to read their answers. Using one scoring convention for both choices can make two procedures look similar while concealing their sensitivity to either choice. We measured this dependence on stored trajectories from Huginn and Ouro, using cloz...
As LLM agents increasingly collaborate on complex tasks, how to organize their interactions becomes a central design question. Existing multi-agent systems typically learn or adapt explicit roles, hierarchies, routing policies, or communication topologies. We shift the learning target to a reusable local law that can b...
Ming-Xi Zou, Wei-Jie Zhu, Zhuo Wang et al.· 0 citations
As LLM agents increasingly rely on persistent memory for long-horizon and personalized behavior, they can retain and reuse information across interactions, but this also creates a lasting channel through which malicious memory writes can influence future behavior. Persistent-memory attacks are typically evaluated by wh...
Ming-Xi Zou, Lang-Zhang Liang, Zhuo Wang et al.· 0 citations
The Powered Length Penalty (PLP) is proposed, an adaptive regularizer that penalizes redundancy in short sequences while gradually reducing penalties for longer sequences, preserving deep reasoning.
Ze-Hui Ling, De-Shu Chen, Hong-Wei Zhang et al.· Proceedings of the Thirty-Fi...· 0 citations
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