Unverified50% confidenceBenchmarkExact time
On the BIRD dataset, schemagate achieved an AC-F1 of 90.1, while the best of the 13 models in the paper scored 88.1 (that model could see the full schema and policies).
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50%
Confidence
Short-term (~14 days)
Relevance
10/17/2026
First Seen
Valid until: 10/31/2026
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Related Claims
UnverifiedRunning five times with Claude Sonnet 4.5, schemagate achieved an AC-F1 of 90.1 on BIRD, versus 88.1 for the paper's best configuration.69% similarUnverified根据2023年State of Agile报告，87%的敏捷团队使用Scrum或其变体56% similarUnverifiedWith inference frameworks such as Ollama and llama.cpp, ordinary consumer-grade GPUs like the RTX 4090 can run models with up to 70B parameters smoothly.55% similarUnverifiedLocally deploying large-parameter models (70B+) requires high-end GPUs (such as A100 or H100) to run smoothly.54% similarUnverifiedNVIDIA's H100 GPU for data centers can deliver nearly 4,000 TOPS of inference performance, while the Jetson Orin NX offers a maximum of 100 TOPS INT8 inference performance.54% similar
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