Applications and Techniques for Fast Machine Learning in Science An impressive 100-page overview of applications and efficient state-of-the-art ML techniques to accelerate scientific discovery. A great read for ML practitioners and researchers. arxiv.org/abs/2110.13041

Hello #NLProc #SDProc Please vote for @SDProc to know about the exciting developments in #SciNLP #scholary #document #processing space #researchonresearch #scientometrics 👉docs.google.com/forms/d/e/1FAI… Dasha Herrmannova Petr Knoth 🇺🇦 Philipp Mayr Lucy Lu Wang Kyle Lo @ ACL 2024 Anita de Waard (she/her) Min-Yen Kan

Excited to share that the 3rd Workshop on Scholarly Document Processing will be collocated with COLING 2022! In addition to a research session, we're hosting six shared tasks this year. Follow @SDProc / groups.google.com/g/sdproc-updat… for CFPs and other updates. #sdproc #nlproc

Complete list of *ACL workshops for 2022: groups.google.com/g/ml-news/c/hz… Important dates that have been announced so far: 2022.naacl.org/calls/workshop… #sdproc #nlproc

This is a heartbreaking story of CORE’s Ukraine team. Please retweet and share as wide as you can. #StopWarInUkraine

ChatGPT’s ‘code interpreter’ is kinda wild. Watch it segment music markets based on a spreadsheet and come up with business strategies for each segment!

i might have heard the same 😃 -- I guess info like this is passed around but no one wants to say it out loud. GPT-4: 8 x 220B experts trained with different data/task distributions and 16-iter inference. Glad that Geohot said it out loud. Though, at this point, GPT-4 is

A new #LLM to keep an eye on -- #DeepMind says their model Geminy will be better than #ChatGPT thanks to techniques from AlphaGo. #NLP #NLProc #AI #MachineLearning wired.com/story/google-d…

Is there anyone in my network already on #bluesky who would be willing to share an invite?

The Problem With LangChain

I only skimmed through so far but this paper looks fantastic. Includes a section on medical applications. #LLM #NLProc #AI arxiv.org/abs/2307.03109

this paper's nuts. for sentence classification on out-of-domain datasets, all neural (Transformer or not) approaches lose to good old kNN on representations generated by.... gzip aclanthology.org/2023.findings-…

8 things most data science programs don’t teach (but you should know) — Part 1 by Dasha Herrmannova buff.ly/46YP5xl

Hi #NLProc! Happy to announce #DAGPap24 competition on detecting automatically generated scientific papers at Scholarly Document Processing Workshop Acl 👉 Competition starting Apr 2 👉 Submit your systems by Apr 30 👉 Monetary prizes for top 3 systems 👉 More info at sdproc.org/2024/sharedtas…