AI RESEARCH
Towards Platonic Representation for Table Reasoning: A Foundation for Permutation-Invariant Retrieval
arXiv CS.AI
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ArXi:2604.12133v1 Announce Type: new Historical approaches to Table Representation Learning (TRL) have largely adopted the sequential paradigms of Natural Language Processing (NLP). We argue that this linearization of tables discards their essential geometric and relational structure, creating representations that are brittle to layout permutations. This paper