{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:20:25Z","timestamp":1783153225536,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792298","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:54:34Z","timestamp":1775771674000},"page":"7091-7100","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0434-5053","authenticated-orcid":false,"given":"Mingming","family":"Zhang","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China and Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0156-0079","authenticated-orcid":false,"given":"Pengfei","family":"Shi","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3637-2936","authenticated-orcid":false,"given":"Junbo","family":"Zhao","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6577-5047","authenticated-orcid":false,"given":"Ningtao","family":"Wang","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2239-2071","authenticated-orcid":false,"given":"Feng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4882-9183","authenticated-orcid":false,"given":"Guandong","family":"Sun","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8150-4854","authenticated-orcid":false,"given":"Yulin","family":"Kang","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3536-2779","authenticated-orcid":false,"given":"Xing","family":"Fu","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4889-644X","authenticated-orcid":false,"given":"Zhiqing","family":"Xiao","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6159-619X","authenticated-orcid":false,"given":"Weiqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3690-3147","authenticated-orcid":false,"given":"Ruizhe","family":"Gao","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Aden and Yi Wang. 2012. KDD Cup 2012 Track 2. https:\/\/kaggle.com\/competitions\/kddcup2012-track2. Kaggle."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(00)00112-4"},{"key":"e_1_3_2_1_3_1","first-page":"1","article-title":"Data normalization and standardization: a technical report","volume":"1","author":"Muhammad Ali Peshawa Jamal","year":"2014","unstructured":"Peshawa Jamal Muhammad Ali, Rezhna Hassan Faraj, Erbil Koya, Peshawa J Muhammad Ali, and Rezhna H Faraj. 2014. Data normalization and standardization: a technical report. Mach Learn Tech Rep, Vol. 1, 1 (2014), 1-6.","journal-title":"Mach Learn Tech Rep"},{"key":"e_1_3_2_1_4_1","volume-title":"Tabnet: Attentive interpretable tabular learning. arXiv preprint arXiv:1908.07442","author":"Arik Sercan O","year":"2019","unstructured":"Sercan O Arik and Tomas Pfister. 2019. Tabnet: Attentive interpretable tabular learning. arXiv preprint arXiv:1908.07442 (2019)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms5308"},{"key":"e_1_3_2_1_6_1","unstructured":"Blealtan. 2024. Efficient kan: A memory-efficient kan implementation. https:\/\/github.com\/Blealtan\/efficient-kan."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nima.2003.08.157"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Jintai Chen Kuanlun Liao Yao Wan Danny Z Chen and Jian Wu. 2022. DANets: Deep Abstract Networks for Tabular Data Classification and Regression. In AAAI.","DOI":"10.1609\/aaai.v36i4.20309"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_1_10_1","unstructured":"Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra Adam Roberts Paul Barham Hyung Won Chung Charles Sutton Sebastian Gehrmann Parker Schuh Kensen Shi Sasha Tsvyashchenko Joshua Maynez Abhishek Rao Parker Barnes Yi Tay Noam M. Shazeer Vinodkumar Prabhakaran Emily Reif Nan Du Ben Hutchinson Reiner Pope James Bradbury Jacob Austin Michael Isard Guy Gur-Ari Pengcheng Yin Toju Duke Anselm Levskaya Sanjay Ghemawat Sunipa Dev Henryk Michalewski Xavier Garc\u00eda Vedant Misra Kevin Robinson Liam Fedus Denny Zhou Daphne Ippolito David Luan Hyeontaek Lim Barret Zoph Alexander Spiridonov Ryan Sepassi David Dohan Shivani Agrawal Mark Omernick Andrew M. Dai Thanumalayan Sankaranarayana Pillai Marie Pellat Aitor Lewkowycz Erica Moreira Rewon Child Oleksandr Polozov Katherine Lee Zongwei Zhou Xuezhi Wang Brennan Saeta Mark D\u00edaz Orhan Firat Michele Catasta Jason Wei Kathleen S. Meier-Hellstern Douglas Eck Jeff Dean Slav Petrov and Noah Fiedel. 2022. PaLM: Scaling Language Modeling with Pathways. ArXiv Vol. abs\/2204.02311 (2022). https:\/\/api.semanticscholar.org\/CorpusID:247951931"},{"key":"e_1_3_2_1_11_1","volume-title":"CatBoost: gradient boosting with categorical features support. arXiv preprint arXiv:1810.11363","author":"Dorogush Anna Veronika","year":"2018","unstructured":"Anna Veronika Dorogush, Vasily Ershov, and Andrey Gulin. 2018. CatBoost: gradient boosting with categorical features support. arXiv preprint arXiv:1810.11363 (2018)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2010.05.011"},{"key":"e_1_3_2_1_13_1","unstructured":"Credit Fusion and Will Cukierski. 2011. Give Me Some Credit. https:\/\/kaggle.com\/competitions\/GiveMeSomeCredit. Kaggle."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Yury Gorishniy Ivan Rubachev and Artem Babenko. 2022. On Embeddings for Numerical Features in Tabular Deep Learning. In Advances in Neural Information Processing Systems Alice H. Oh Alekh Agarwal Danielle Belgrave and Kyunghyun Cho (Eds.). https:\/\/openreview.net\/forum?id=pfI7u0eJAIr","DOI":"10.52202\/068431-1812"},{"key":"e_1_3_2_1_15_1","unstructured":"Yury Gorishniy Ivan Rubachev Valentin Khrulkov and Artem Babenko. 2021. Revisiting Deep Learning Models for Tabular Data. In Advances in Neural Information Processing Systems A. Beygelzimer Y. Dauphin P. Liang and J. Wortman Vaughan (Eds.). https:\/\/openreview.net\/forum?id=i_Q1yrOegLY"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467077"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_10"},{"key":"e_1_3_2_1_18_1","unstructured":"Robert Hecht-Nielsen. 1987. Kolmogorov''s Mapping Neural Network Existence Theorem. https:\/\/api.semanticscholar.org\/CorpusID:118526925"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/70405.70408"},{"key":"e_1_3_2_1_20_1","volume-title":"TabTransformer: Tabular Data Modeling Using Contextual Embeddings. arXiv preprint arXiv:2012.06678","author":"Huang Xin","year":"2020","unstructured":"Xin Huang, Ashish Khetan, Milan Cvitkovic, and Zohar Karnin. 2020. TabTransformer: Tabular Data Modeling Using Contextual Embeddings. arXiv preprint arXiv:2012.06678 (2020)."},{"key":"e_1_3_2_1_21_1","volume-title":"Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems","author":"Ke Guolin","year":"2017","unstructured":"Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, and Tie-Yan Liu. 2017. Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems, Vol. 30 (2017), 3146-3154."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364904045481"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the 35th International Conference on Neural Information Processing Systems (NIPS '21)","author":"Liu Hanxiao","unstructured":"Hanxiao Liu, Zihang Dai, David R. So, and Quoc V. Le. 2024a. Pay attention to MLPs. In Proceedings of the 35th International Conference on Neural Information Processing Systems (NIPS '21). Curran Associates Inc., Red Hook, NY, USA, Article 704, 12 pages."},{"key":"e_1_3_2_1_24_1","volume-title":"KAN: Kolmogorov-Arnold Networks. arXiv:2404.19756 [cs.LG] https:\/\/arxiv.org\/abs\/2404.19756","author":"Liu Ziming","year":"2024","unstructured":"Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Solja\u010di\u0107, Thomas Y. Hou, and Max Tegmark. 2024b. KAN: Kolmogorov-Arnold Networks. arXiv:2404.19756 [cs.LG] https:\/\/arxiv.org\/abs\/2404.19756"},{"key":"e_1_3_2_1_25_1","volume-title":"Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=r1eiu2VtwH","author":"Popov Sergei","year":"2020","unstructured":"Sergei Popov, Stanislav Morozov, and Artem Babenko. 2020. Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=r1eiu2VtwH"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","unstructured":"Oliver Roesler. 2013. EEG Eye State. UCI Machine Learning Repository. DOI: https:\/\/doi.org\/10.24432\/C57G7J.","DOI":"10.24432\/C57G7J"},{"key":"e_1_3_2_1_27_1","volume-title":"GLU Variants Improve Transformer. ArXiv","author":"Shazeer Noam M.","year":"2020","unstructured":"Noam M. Shazeer. 2020. GLU Variants Improve Transformer. ArXiv, Vol. abs\/2002.05202 (2020). https:\/\/api.semanticscholar.org\/CorpusID:211096588"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105524"},{"key":"e_1_3_2_1_29_1","volume-title":"SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training. arXiv preprint arXiv:2106.01342","author":"Somepalli Gowthami","year":"2021","unstructured":"Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild, C Bayan Bruss, and Tom Goldstein. 2021. SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training. arXiv preprint arXiv:2106.01342 (2021)."},{"key":"e_1_3_2_1_30_1","volume-title":"LLaMA: Open and Efficient Foundation Language Models. ArXiv","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timoth\u00e9e Lacroix, Baptiste Rozi\u00e8re, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023. LLaMA: Open and Efficient Foundation Language Models. ArXiv, Vol. abs\/2302.13971 (2023). https:\/\/api.semanticscholar.org\/CorpusID:257219404"}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774904.3792298","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:02:49Z","timestamp":1783152169000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792298"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":30,"alternative-id":["10.1145\/3774904.3792298","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792298","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}