Summarizing unread attention tokens preserves accuracy while reading one percent

Yu and colleagues report that tail proxies retain 99% of dense-attention accuracy on a long-context benchmark while accelerating the decode attention stage.

Big Tech
Hyunwoo Yu · Jongbeom Lee · Hyunbin Kim · Sungjun Park · Jaemin Choi · Jincheol Yang · +5 more

Sogang University · Samsung Electronics · Pusan National University

Research Digest··2 min read
Yu and colleagues introduce OpenAttention, a training-free method that reads selected entries from a language model’s key-value cache and summarizes the rest with representative tokens.

Long-context generation repeatedly accesses a key-value cache, the stored representations of earlier tokens.

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