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ProgramTab outperforms all LLM-based baselines in table reasoning by transforming unstructured data into actionable insights through programmatic preprocessing.
Multi-behavior recommendation models can now effectively filter out noisy auxiliary data and boost performance by contrasting denoised auxiliary and target behavior representations.
