CoolFace
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ClarusC64/llm-termination-failures

Purpose • Capture termination failures in LLMs • Focus on overcompletion and boundary violations Why it matters • Models often answer correctly • But fail to stop when the task is complete • This failure degrades reliability in real deployments Use cases • Eval benchmarks • Fine tuning stop behavior • Instruction adherence research

sourceHugging Facecc-by-4.0updated 9mo agoView on Hugging Face
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namellm-termination-failures
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ClarusC64/llm-termination-failures · CoolFace