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Bin-Bin Lin

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Aug 2026

Flexible Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on LLMs and Beyond.

Knowledge distillation (KD) has become a prevalent technique for compressing large language models (LLMs). Existing KD methods are constrained by the need for identical tokenizers (i.e., vocabularies) between teacher and student models, as they assume a consistent semantic correspondence across logit dimensions, limiti...

Xiao Cui, Mo Zhu, Yu-Lei Qin et al. · 0 citations
#natural language process... Preprint Aug 2026

Dual-Layer Agentic Memory with Fast Write Routing and Slow Consolidation

Dual-Layer Agentic Memory is proposed, a framework that shifts memory management to the write phase through cost-aware epistemic routing and periodic parametric consolidation, allowing the router to adaptively suppress redundant writes as the model's epistemic boundaries evolve.

Wenzhi Li, Dong Nie, Ruiyi Lan et al. · 0 citations

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