Researchlong term memorylong contextassociative memorygoogle research
Google Research Debuts Titans And MIRAS Memory Framework
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10.0
Google Research introduces two papers, Titans and MIRAS, proposing memory-driven sequence models to handle extremely long context. Titans uses a surprise metric, momentum, and adaptive forgetting to build a long-term memory module, while MIRAS offers a framework of four design choices for associative memory; evaluations show Titans scales beyond two million tokens and outperforms larger baselines, including GPT-4, on BABILong.
Scoring Rationale
Strong novelty and broad scope with official Google Research validation and clear experimental evidence across 2M-token contexts.
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