Huge congratulations to Professor Caucher Birkar, one of four recipients of the 2018 Fields Medals. cam.ac.uk/research/news/…

A very happy new year to all :D

:)

See you in Minneapolis :D #NAACL2019

A very happy new year to all! :D In fact a very happy new decade!

Keeping @Facebook users safe from policy violating content like hate speech, misinformation or child exploitation, is a top priority for Facebookai. This paper surveys the AI techniques we have developed and used to preserve integrity on our platform arxiv.org/pdf/2009.10311…

Excited to share that our paper on lifelong language learning got accepted at #NeurIPS2021 datasets and benchmarks track. A great collaboration with Aman Hussain Nithin Holla Pushkar Mishra Katia Shutova openreview.net/pdf?id=yJyIjWy… #MachineLearning #NLProc

Come and join us at AmsterdamNLP! We have a PhD position in #NLProc with a focus on modelling the spread of misinformation, in collaboration with Meta AI. Looking for students with an NLP/ML background and an interest in language and society. vacatures.uva.nl/UvA/job/PhD-Po…

Check out this super interesting NeurIPS Conference paper! #NeurIPS22 Paper: arxiv.org/abs/2207.09980 Poster: 👇 From the amazing Yihong Chen Pushkar Mishra Luca Pontus Sebastian Riedel (@[email protected]) at UCL Centre for Artificial Intelligence UCL Computer Science @MetaAI

This is huge: Llama-v2 is open source, with a license that authorizes commercial use! This is going to change the landscape of the LLM market. Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers Pretrained and fine-tuned

Read our paper here: ai.meta.com/research/publi…

🤔🤖Most AI systems assume there’s just one right answer—but many tasks have reasonable disagreement. How can we better model human variation? 🌍✨ We propose modeling at the individual-level using open-ended, textual value profiles! 🗣️📝 arxiv.org/abs/2503.15484 (1/?)

📜 💡**New paper & dataset** Our paper [to be presented as a spotlight at NeurIPS’25] presents DIVE, a novel dataset for aligning GenAI models to pluralistic viewpoints. DIVE and accompanying experiments advocate for a shift in both: alignment strategies and safety evaluations.

A very happy new year to all! :D

Very eventful 8 years ;)

Help Pushkar Mishra get more signatures fb.me/6qCEAUVAE

This should have been initiated quite a while ago. Many students are misled into false sense of achievement by... fb.me/GajPdoD1

#AIforGood x.com/HYannakoudakis…