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Columbia University
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GIF achieves near-perfect recall in information flow tracking for LLMs while using up to 81x fewer tokens than direct LLM-as-judge approaches.
LLMs can learn to write faster code at inference time, without fine-tuning, by contrasting the execution of similar candidate programs.
