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