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
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