Congrats @redpony and team! This is an amazing achievement and shows how AI research can power applications for social good! 🥳
Also it was personally fun sitting close by in the office and watching this project take off!
Are you interested to join @GoogleDeepMind as a student researcher (PhD students)?
I am hiring for a fun project on reward modeling for world models!
If you are interested on video understanding/generation and reward models/critiquing, get in touch and apply below! 👇
If you’re at @iclr_conf this week, come check out our spotlight poster INCLUDE during the Thursday 3:00–5:30pm session!
I will be there to chat about all things multilingual & multicultural evaluation.
Feel free to reach out anytime during the conference. I’d love to connect!
Disappointed with #ICLR or #NAACL reviews? Consider submitting your work at #Repl4NLP@naaclmeeting , whether it's full papers, extended abstracts, or cross-submissions. 🔥
Details on submissions 👉 https://t.co/vqbYL2qiHh
⏰ Deadline January 30
📢📢 Call for papers
#Repl4NLP@naaclmeeting
Consider submitting your work -full papers, extended abstracts, or cross-submissions!
✨ Direct paper submission deadline: Jan 30, 2025
✨ ARR commitment deadline: Feb 20, 2025
More details on our website: https://t.co/vqbYL2pKRJ
We are organizing Repl4NLP 2025 along with @fredahshi@gvernikos@vaibhav_adlakha@xiang_lorraine@mbodhisattwa. The workshop will be co-located with NAACL 2025 in Albuquerque, New Mexico and we plan to have a great panel of speakers.
Consider submitting your coolest work!
Paper #2: Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization
Link: https://t.co/H5AMVzMT5v
Ever wondered how we can do LLM weight arithmetic to enable models to handle tasks in languages in zero shot style? The authors have a solution.
🚀 We've released the Lite version of Global-MMLU!
✅ Faster, easier evaluation
✅ Balanced culturally sensitive and culturally agnostic knowledge
Try it at 🤗: https://t.co/PEPg7bWy2l
Introducing Global-MMLU🌍: A multilingual benchmark featuring MMLU translations in 42 languages crafted with:
✅ Human curation
✅ Extensive metadata
✅ Insights into cultural sensitivity
Proud to have collaborated with @singhshiviii and @CohereForAI to bring this work to life!
🚀 Introducing INCLUDE 🌍: A multilingual LLM evaluation benchmark spanning 44 languages!
Contains *newly-collected* data, prioritizing *regional knowledge*.
Setting the stage for truly global AI evaluation.
Ready to see how your model measures up?
#AI#Multilingual#LLM#NLProc
I am in Miami 🌴 attending #EMNLP2024! Tomorrow I will be presenting my @GoogleDeepMind internship paper at the @mrl2024_emnlp workshop at 11:00am (poster session) and as an oral at 2:30pm! If you are still around and interested in multilingual model merging, stop by!🎉
Can neural networks reason like pointcloud registration algorithms?
Excited to share our latest paper, "NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms", with @PetarV_93, @d_d_martini, and @kula78!
https://t.co/DuEwZvbvLb
More info below 🤖
Can we achieve effective zero-shot summarization by combining language & task information from existing PEFT adapters with weight arithmetic?
Our paper, accepted at the @mrl2024_emnlp workshop #EMNLP2024, explores this question! A 🧵:
I am in Bangkok 🇹🇭 attending #ACL2024NLP! Tomorrow at 10:00 during Poster Session 4, I'll be presenting our work QE-fusion. If you're interested in translation, LLMs, and quality estimation, stop by for a chat!
Congratulations to Dr. Katerina (@katemargatina) who passed her PhD viva today with no corrections!! 🎉🥳
Katerina has made very important contributions to active learning for NLP, including contrastive-based acquisition!
🚨 Excited to announce that our QE-fusion paper has been accepted to the #ACL2024NLP main conference! 🎉 See you all in Bangkok!! 🇹🇭
📰 camera-ready: https://t.co/3UMO21i7kD
#ICML2024 Paper 📣. tl;dr: a theoretical analysis of the minima of various contrastive learning losses + a novel loss family (seamless plugin) inspired by our theory, w/ robust & consistent downstream performance improvements. With @pakoromilas,
@tyiannak,@MihalisAN, Y. Panagakis