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Beyond Prompt and Parser Engineering: Soft-Prompt Tuning for Automated LLM Evaluation
Benchmark scores often misrepresent a large language model's (LLM's) knowledge, because they rely, e.g., on the model's ability to follow specific formatting requirements. This especially penalizes base models that may know the correct answers but lack the ability -- typically introduced in post-tra
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