Semantic ID-based generative recommendation represents each item as a sequence of discrete tokens, enabling structured modeling of item semantics. A critical challenge is constructing semantic IDs that are both semantically expressive and computationally efficient. While recent approaches favor complex learned quantiza...
Yu-Qing Liu, Hui-Yuan Chen, Yi-Bo Wang et al.· 0 citations
DynGraphAgentBench, an executable benchmark for agentic lifecycle control under delayed feedback, is introduced, an executable benchmark for agentic lifecycle control under delayed feedback that measures detection utility with average precision and capture at fixed review depth, and characterize adaptation through mode...
Yu-Wei Han, Ling-Wei Wei, Wooseong Yang et al.· 0 citations
RRCM is proposed, a ranking-driven retrieval-and-reasoning framework over collaborative and metadata memories for LLM-based agentic recommendation that significantly outperforms traditional baselines and diverse LLM-based recommendation approaches.
XBRIDGE is proposed, a decode-free communication protocol that outperforms text-based communication on all seven tasks for each model pair while achieving 11x lower latency, and in a same-architecture setting it also exceeds a KV-sharing baseline on six of seven tasks.
Wooseong Yang, Wei-Chieh Huang, Wei-Zhi Zhang et al.· 3 citations
A controlled harness evaluation of memory substrates for memory-augmented agents, covering dense and sparse indices, text records, structural stores, hierarchical stores, refinement-based memories, parametric updates, and activation-compatible context mechanisms, shows that no single substrate consistently dominates.
Wei-Chieh Huang, Wei-Zhi Zhang, Yu-Chen Wu et al.· 2 citations
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