Sign inGet started
Paper · arXiv

Long-Lived Characters, Local Inference: Incremental Memory Maintenance for Game NPCs

A game character should not have to reread its entire life before every conversation. For locally deployed language-model characters, however, revising a few memories can invalidate a long reusable prefix. The resulting preparation cost competes with both foreground dialogue and the maintenance of other characters. This matters especially when dialogue feeds game-defined actions and value judgments: a fluent but incorrect account of who owns an item, or whether a transfer has already happened, can corrupt the input to otherwise deterministic rules. We study incremental memory maintenance for long-lived game NPCs in a quantized Qwen hybrid recurrent-attention model. Our runtime removes sup...

AuthorsZimu Xu
Primary categorycs.CL
Published16 September 2026
Last updated at source16 September 2026
cs.CL
Embed this entry
<iframe src="https://silytics.si/embed/item/c4c69ba3-d959-4f1d-9d33-a152e575281a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.