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Llama — Field Evidence

paperUnverified
Llama · Llama · incident
Field note
Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration — Large language model unlearning is consistently fragile under relearn attacks. On TOFU, fine-tuning on twenty forget examples substantially recovers held-out forget-set ROUGE for every method
collected 2026-07-31original 2026-07-30

Does this shift the US–China race?

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Impact on the index
Regulation · major
US -110China +30
Directional contribution — before recency decay and per-type diminishing returns. How it works →
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Related Front

US vs ChinaLikely
U.S. FrontiervsChina Open-Weight

Likely — capability gap narrowing on common tasks

Letters from the Front

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