What is recorded here?
Built a temporally grounded question benchmark and compared6B models pretrained on chronological versus shuffled versions of CommonCrawl data at a fixed token budget.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Chronological pretraining improved temporal freshness in the studied setting, not guaranteed continual learning, arbitrary knowledge updating or universal superiority. Released versus planned checkpoints must be checked separately at adoption.
Read the original work
- Understanding Data Temporality Impact on Large Language Models Pre-training
- Kyutai scientific publications index
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People and systems
Romain Fabre; Hippolyte Pilchen; Franck Signe Talla; Patrick Perez; Edouard Grave
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Kairos: temporal data ordering and factual-freshness evaluation
Built a temporally grounded question benchmark and compared6B models pretrained on chronological versus shuffled versions of CommonCrawl data at a fixed token budget.
Scientific scope
Chronological pretraining improved temporal freshness in the studied setting, not guaranteed continual learning, arbitrary knowledge updating or universal superiority. Released versus planned checkpoints must be checked separately at adoption.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Romain Fabre; Hippolyte Pilchen; Franck Signe Talla; Patrick Perez; Edouard Grave
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.