#KDD2026
Some data isn't fit for LLMs, esp. many biomedical datasets & anything with spreadsheets.

Large Tabular Models (LTMs) are the way to go!

Our LTM (iLTM accepted
#KDD2026) is now in the dictionary! Thanks @spectrum.ieee.org and @merriamwebster.bsky.social!

www.merriam-webster.com/dictionary/t...
July 22, 2026 at 12:47 AM
#XGBoost just won the Test of Time award at #KDD2026! 🌲

XGBoost is an marvel, I use it daily with success on a variety of use cases.

www.linkedin.com/posts/nicker...

#machinelearning #ml #datascience
#xgboost #kdd2026 | Nick Erickson
#XGBoost just won the Test of Time award at #KDD2026! 🌲 XGBoost, along with its siblings LightGBM and CatBoost, revolutionized the tabular machine learning field and remained the undisputed king of t...
www.linkedin.com
August 10, 2026 at 12:34 PM
🎉 So excited to share we are presenting two @tessl.io AI Research papers at #KDD2026 workshops in Jeju on Sunday!

Both papers ask: how do we meaningfully evaluate increasingly complex agentic AI systems and the components around them?

Rob Willoughby will be presenting both — come say hi! 🇰🇷

🧵👇
August 8, 2026 at 2:15 PM
Attending #KDD2026? Come meet Amazonians and fellow attendees at our mixer. Spots are limited – request to attend:
Amazon After Hours @ KDD · Luma
Join us for a relaxed evening away from the conference buzz, where you can connect with Amazonians and fellow KDD attendees in a fun, casual setting. If you...
luma.com
August 6, 2026 at 9:59 PM
It's been a few weeks since #KDD2026 in Jeju and it was a lot to take in. First KDD, first time in South Korea, ~4K attendees. I presented our work on auditing LLMs as scholar recommender systems. 🧵 1/6
August 31, 2026 at 9:49 AM
Take advantage of our conference offers for ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2026 until September 7. Apply code 148304 at checkout #KDD2026.
https://cup.org/3Tx9APu
August 9, 2026 at 10:30 AM
We’re glad to share that our manuscript, “VILLA: Versatile Information Retrieval From Scientific Literature Using Large LAnguage Models,” has been accepted to #KDD2026 (AI for Sciences track). The 2026 conference will take place August 9–13, 2026 in Jeju, Korea. 🌟
arxiv.org/abs/2603.23849
June 9, 2026 at 7:16 PM
Want to catch them at #KDD2026 tomorrow?

🛠 Coding benchmarks are misaligned with #AgenticSE → Agentic Software Engineering (SE 3.0)
agent-se.github.io

🧪 #AgenticSkills evals at scale → Evaluation & Trustworthiness of Agentic AI
kdd-eval-workshop.github.io/agenticai-ev...

Come chat to us!
August 8, 2026 at 2:30 PM
(7/7) 𝗠𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝘀𝘁𝘂𝗱𝘆: csh.ac.at/news/who-doe...
𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝘃𝗶𝘀𝘂𝗮𝗹: vis.csh.ac.at/whosenamecom...

You can find links to the three studies here in the About section of the visual. @lespin.bsky.social presented the second study recently at #KDD2026.
Whose name comes up?
Who would large language models (LLMs) recommend if you ask about physics experts?
vis.csh.ac.at
August 24, 2026 at 9:08 AM
Interested in data mining, data science, and analytics? Learn about the research that Malone Center affiliate member @ananya-a-joshi.bsky.social and team will be presenting at #KDD2026 next week—a 🧵 (1/7)
August 5, 2026 at 4:40 PM
博報堂DYホールディングスの主著論文がKDD 2026で口頭発表決定#東京都#港区#博報堂#KDD2026#アルゴリズム評価

博報堂DYホールディングスが国際会議KDD 2026で主著論文の口頭発表を行うことが決まりました。研究の詳細をご紹介します。
博報堂DYホールディングスの主著論文がKDD 2026で口頭発表決定
博報堂DYホールディングスが国際会議KDD 2026で主著論文の口頭発表を行うことが決まりました。研究の詳細をご紹介します。
news.3rd-in.co.jp
July 30, 2026 at 3:03 AM
🚀 Registration for ACM Hypertext 2026 is now officially open!
📍 London, England, United Kingdom
📅 September 14–18, 2026

🌎 “The World as Hypertext”

🔗 Learn more and register: ht.acm.org

#HT2026 #Hypertext #ACM #UMAP2026 #RecSys2026 #ICWSM2026 #KDD2026
June 16, 2026 at 12:09 PM
Lucky enough to engage with a bunch of brilliant colleague AI researchers from #NUS #NeXT+, and hooray! Our paper just got accepted to #KDD2026 #AI4Science!

It’s about #DeepTaxon, a retrieval-augmented multimodal framework for more accurate species ID and discovery in open-world biod settings. 1/5
DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery
Identifying species in biology among tens of thousands of visually similar taxa while discovering unknown species in open-world environments remains a fundamental challenge in biodiversity research. C...
arxiv.org
May 17, 2026 at 7:25 AM