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    LG’s EXAONE Tabular ranked first for classification on TabArena by Elo score, a user reports

    The user describes classification and regression models with about 21 million parameters each. They note a licensing distinction: released weights are limited to non-commercial research and education, while inference code permits commercial use.

    ML
    1 Source, 19d ago, first seen 19d ago

    TLDR

    In a September 11 post, a user reported that LG AI Research’s EXAONE Tabular ranked first for classification and second for regression on TabArena by Elo score, and shared its technical report. They described models with about 21 million parameters each that handle missing values directly, without filling them in first, and use built-in feature selection for tables exceeding the feature limit. The user also noted that the released weights are limited to non-commercial research and education, though the inference code permits commercial use.

    Combined views

    85

    1 Source, first seen 19d ago

    Combined views

    85

    1 Source, first seen 19d ago

    4 reposts
    4 reposts

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    1 Source

    @MLStreetTalkRT @pandeyparul: If you’re following the tabular foundation models(TFMs) space, it’s worth checking the TabArena leaderboard from time to t…

    1 Source

    @MLStreetTalkRT @pandeyparul: If you’re following the tabular foundation models(TFMs) space, it’s worth checking the TabArena leaderboard from time to t…