{"id":32195,"date":"2026-01-21T17:01:29","date_gmt":"2026-01-21T17:01:29","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/towards-understanding-layer-contributions-in-tabular-in-context-learning-models\/"},"modified":"2026-06-08T13:18:27","modified_gmt":"2026-06-08T13:18:27","slug":"towards-understanding-layer-contributions-in-tabular-in-context-learning-models","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/towards-understanding-layer-contributions-in-tabular-in-context-learning-models\/","title":{"rendered":"Towards Understanding Layer Contributions in Tabular In-Context Learning Models"},"content":{"rendered":"<p>Despite the architectural similarities between tabular in-context learning ({ICL}) models and large language models ({LLMs}), little is known about how individual layers contribute to tabular prediction. In this paper, we investigate how the latent spaces evolve across layers in tabular {ICL} models, identify potential redundant layers, and compare these dynamics with those observed in {LLMs}. We analyze {TabPFN} and {TabICL} through the &#8222;layers as painters&#8220; perspective, finding that only subsets of layers share a common representational language, suggesting structural redundancy and offering opportunities for model compression and improved interpretability.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Despite the architectural similarities between tabular in-context learning ({ICL}) models and large language models ({LLMs}), little is known about how individual layers contribute to tabular prediction. In this paper, we investigate how the latent spaces evolve across layers in tabular {ICL} models, identify potential redundant layers, and compare these dynamics with those observed in {LLMs}. We analyze {TabPFN} and {TabICL} through the &#8222;layers as painters&#8220; perspective, finding that only subsets [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[30],"class_list":["post-32195","publication","type-publication","status-publish","hentry","publication-type-article"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32195","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/12"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32195\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32195"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32195"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}