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Zhi-Yun Shi

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#machine learning Preprint Nov 2026

Write Facts the Way Models Read Them: Lifting the Two-Hop Curse

Legible proposes read-equivalent writing (Legible): one loss term makes the bridge phrase, at the layer where the second hop finishes reading it, match the model's own reading of the new entity, and keeps the same relation's other subjects unchanged.

Zhi-Yun Shi · 0 citations
#artificial intelligence Preprint Oct 2026

Madeleine: Learning Involuntary Recall for Conversational Memory from Simulated Lives

A long-term conversational assistant must recall the right memory at the right moment, yet the memory that matters most is often not similar to what the user says now. Current systems recover such associations by letting an LLM reason at write or read time, at a cost of hundreds to over a thousand LLM calls per memory...

Zhi-Yun Shi · 0 citations

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