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STIMSMITH

LSTM for instruction sequence modeling

Technique
First seen 6/12/2026
Last seen 6/12/2026
Evidence 1 chunks

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RELATIONSHIPS

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DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification ← uses 80% 1e
The paper discusses LSTM-based sequence modeling as a prior approach that DeepVerifier improves upon.
transformer language model for instruction sequences compares with → 90% 1e
LSTM-based sequence modeling is compared with the transformer language model, highlighting limitations of LSTM.