To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models
ICLROral2026
TL;DR
State Space Models (SSMs) have become the leading alternative to Transformers for sequence modeling tasks. Their primary advantage is efficiency in long-context and long-form generation, enabled by fixed-size memory and linear scaling of computational complexity.
Opening excerpt from the authors’ abstract. source
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Topics
state space model generalization transformer memory