Unverified50% confidenceBenchmarkExact time
SmolLM2 360M fine-tuned with LoRA achieves an F0.5 of 0.663 on the grammar correction task, with a 20.1% false-edit rate.
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50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
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UnverifiedThe LoRA baseline used for comparison in the paper uses rank 19 with 6.6 million parameters, achieving a correction rate of 83.3%, but exhibited capability loss of 30% to 75%.68% similarUnverifiedThis 400 error regression was introduced in version v2.1.275.65% similarUnverifiedThe cache hit rate for exact SHA256 hash caching of prompts is often less than 4%, because an extra space or punctuation mark will invalidate the cache.65% similarUnverifiedOn the LSTM time-series prediction task, parameters were reduced from 12,051 to 2,048, with a validation set MSE as low as 0.00006.61% similarUnverifiedAblation analysis shows that fine-tuning on the segment paradigm yields a +5.29-point improvement on the test set, while replacing the first 4,500 transcript words with 2,000 retrieved words yields only a +1.55-point improvement.61% similar
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