Search papers, labs, and topics across Lattice.
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IAPO redefines credit assignment in multi-turn interactions, showing that leveraging influence-dependency graphs can significantly enhance service agent performance.
EviGraph's innovative approach to evidence construction boosts accuracy by over 30% compared to traditional methods, reshaping how agents validate information.
EvoWiki achieves a remarkable 9.72% improvement in accuracy over existing methods, revolutionizing how we handle knowledge evolution in collaborative environments.
Misleading historical data can corrupt over 30% of tool-calling decisions, but a new method can restore accuracy by effectively transferring reliable policies from teacher to student models.
Jointly optimizing knowledge construction and querying leads to a 6.3-point boost in answer correctness, revolutionizing how agents interact with their knowledge bases.
Conversational agents can achieve superior memory recall and reasoning by treating memory as an active cognitive component rather than a passive tool.
