The decision shows us that IBM has one of the strongest ethical policies of any technology company" Rob Enderle following Arvind Krishna's announcement that IBM will no longer sell facial recognition technology siliconangle.com/2020/06/08/ibm…

The #AAAI2021 Demonstrations Program is accepting submissions! Deadline September 18, call and more details here: aaai.org/Conferences/AA… We are also accepting nominations to the program committee (PC) - please use this link to nominate: ibm.biz/aaai21-demos-pc AAAI #AI

Super excited to finally share something we have been working on this year -- porting the Command Line AI (CLAI) platform from IBM Research to the z/OS platform! 🔗 ibm.biz/zos-clai Post 👆 Code 👇 💻 ibm.biz/clai-home #AI #zOS #mainframe #OSS #CLAI #IBM

We have been working on Neuro-symbolic reasoning for knowledge base question answering IBM Research and here is a snapshot of our efforts -- with @ibrahimabdelazz S Roukos ibm.com/blogs/research…

Check out 1st DialDoc Workshop at ACL-IJCNLP 2021 doc2dial.github.io/workshop2021/, focusing on dialog systems that are grounded on varied forms of document contents. In addition to a research paper track, there is also a shared task organized by IBM Research with a leaderboard EvalAI.

Very excited to share that our paper got accepted at #NAACL2021🎉 Many thanks to my advisor Yangfeng Ji and co-authors (my internship mentors at IBM last summer) Chulaka Gunasekara Jatin Ganhotra , Song Feng, Hui Wan, Sachindra Joshi 🥰

With #CHI2021 just a couple of days away, check out this page with a list of work from IBM Research! Proud to have Chieko Asakawa delivering a CHI keynote and John Richards giving a SIGCHI Lifetime Practice Award Talk researcher.watson.ibm.com/researcher/vie…

Our paper will be presented in session 11B-Oral/Poster #NAACL2021 (June 8th 22:40 EST). Welcome to join us!🙂 Check out the paper: aclweb.org/anthology/2021… Code: github.com/UVa-NLP/GMASK

We are excited to announce that the Second #DialDoc Workshop is co-located with ACL 2025. Check out our website doc2dial.github.io/workshop2022/ with more details coming soon. Ellen Wu Svitlana Vakulenko 🇺🇦 chengguang tang @caixiayuan_bupt #ACL2022

Outstanding body of work from IBM Research featured at NeurIPS2021 -- nearly 90 accepted papers, workshops, workshop papers, demos and datasets. Check out lnkd.in/erzpKnzD and follow us at IBM Research to explore the latest. #ibmresearch #NeurIPS2021

I did interview Gota. The Rajapaksas realized it was a mistake that they did declined to comment for our Hambantota port story & requested a meeting before elex He did not say much interesting so we didn’t use it. It wasnt 3 hours long. I was heavily pregnant &not drinking coffee

Sri Lanka is in a death spiral. Today, I measure LKA's inflation at 122%/yr. Things are so bad even IMF refuses to offer Sri Lanka a bailout loan. SPOILER ALERT: Sri Lanka has had 16 IMF programs. None have worked. cnbc.com/2022/06/30/imf…

Welcome PrimeQA at #NAACL2022! Replicate the state-of-the-art on multilingual open QA quickly! Here’s a new open-source repo in collab with with Stanford NLP Group, Hugging Face, Uni Stuttgart @NLPIllinois1. Link: github.com/primeqa/primeqa Talk to me or read: research.ibm.com/blog/primeqa-f… 🧵

Want to build a text classifier in a few hours? Even if you don’t have any: labeled data #machineLearning knowledge programing skills Label Sleuth ibm.biz/label-sleuth a new open-source no-code system for annotations 🧵 IBM Research University of Notre Dame Stanford Human-Computer Interaction Group UT Dallas #NLProc

Label Sleuth is coming to EMNLP 2025 on Friday!🤖 after lawyers fell in love in it at #ELTACON and data scientists at PyData Global. Easily label and build text classifiers in a few hours with no need for AI nor programming skills! #opensource #NLProc github.com/label-sleuth/l…

Can you make an existing pretrained LM behave like a BIGGER pretrained LM? Judging by our new paper on Auto-Contrastive Decoding, in some ways you can! 🤯 arxiv.org/abs/2305.01628 IBM Research #acl2023 #NLProc

Granite 3.0 is our latest update for the IBM foundation models. The 8B and 2B models outperform strong competitors with similar sizes. The 1B and 3B MoE use only 400M and 800M active parameters to target the on-device use cases. Our technical report provides all the details you

IBM presents Granite 3.0, lightweight foundation models ranging from 400 million to 8B parameters. Supports coding, RAG, reasoning, and function calling, focusing on enterprise use cases, including on-premise and on-device settings. The technical report contains detailed

🎉Today, we're pleased to announce the release of the Granite 3.0 model family, the latest open-licensed, general purpose LLMs from IBM 🎉 These have been a labor of love for my team at IBM Research, working closely with a host of collaborators across the company. We're excited

New Benchmark Alert🚨 Introducing MTRAG, an end-to-end, human-generated multi-turn RAG benchmark for LLMs from IBM Research! 🎯 ✅ Real-world question types 🌍 ✅ Diverse dimensions ✨ ✅ Full RAG pipeline evaluation 🔍 Ready to dive in? 🚀 #AI #ML #RAG #LLM