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cs.AI2026
CADOC: Cache-Aware Dynamic Object Context for Long-Horizon Agents
Junjie Yao, Zhangchen Zhou, Zhi-Qin John Xu
For a long-horizon agent, context is the bottleneck: the history is resent with every request, the window caps task length, and reasoning degrades as the history grows. Replacing s…
cs.LG2026
Context Staircase: Signature-Aligned Dynamics of Token Embeddings under Small Initialization
Junjie Yao, Liangkai Hang, Zhi-Qin John Xu
Token embeddings are the basic representational units that connect discrete tokens with continuous computation in language models. Although modern language models learn embeddings…
cs.AI2026
Small Initialization Matters for Large Language Models
Liangkai Hang, Junjie Yao, Zhiyu Li +3
Large language models provide a tractable system for asking how intelligence itself emerges, rather than only how LLMs can be engineered. Although progress is usually attributed to…