IBM Fellow, working on multilingual NLP using Machine (and Deep) Learning models for language translation, information extraction, and language understanding.
#acl2023 findings paper for folks working on retrieval leaderboards- Read on:
✅ We show multi-dimensional tradeoffs e.g. quality , latency & cost (instead of just F1)
✅ Metrics that include concrete efforts e.g. DynaScore.
-- Code in PrimeQA: https://t.co/R6GbTTkY90
If you're using GPT-3 or any other LLMs read this:
1. Don't want it to hallucinate?
2. Need attribution for generated answers?
3. Have access to proprietary data that you want to index yourself and generate answers from it?
Use PrimeQA! We added "retrieve" and "read" mode.🧵
Helped writing this article about
@IBMResearch 's presence at ACL 2020. We've 19 papers accepted at the main conference and we'll show live demos of these systems in action! Come visit us next week July 6 -8 at our virtual booth. #acl2020#NLProc
https://t.co/rUS2Edryez
We've launched a new literature Q&A service leveraging @IBMResearch's Go Ahead Ask Me Anything (GAAMA) technology to extract answers from the COVID-19 Open Research Dataset (CORD-19) of scientific articles. Check it out: https://t.co/LWMIcXsOGx
IBM Research AI launched a new question answering leaderboard for domain adaptation for enterprise QA systems.
https://t.co/5i1VcCPxYS #ml#questionanswering#TechQA
@IBMResearch has about 21 accepted (2 workshop) papers at #emnlp2019 ! Come and talk to us to know more about the papers or if you're looking for summer internships or job opportunities. I'm looking to find someone interested to work on Question Answering!
This year at #acl2019nlp, @IBM Researchers will present technical papers describing the latest results in our long-term push to help #AI systems master language.
Read the papers here: https://t.co/nfPIGcTiVx
Headed to #ACL2019 in Florence, Italy? Join @IBM researchers, to learn how to translate table into natural language, on July 28th.
T9 "Storytelling from Structured Data and Knowledge Graphs: An NLG Perspective" Learn more here ➡️ https://t.co/A9ehq6TChQ