🚨 Thrilled to announce our EMNLP 2024 paper on defending against LLM-driven social engineering attacks, co-authored with @TharinduKTS, @Amrita_Bh, and more! Check it out: https://t.co/mrk22KFjnD 🚀 #EMNLP2024 #NLP

Introducing Mistral NeMo 12B NIM, an advanced open language model for chatbots, multilingual tasks, coding and summarization. Created by @MistralAI and NVIDIA and runs on a single NVIDIA L40S and RTX GPUs. https://t.co/LrNF51hOXv #AI

garak: A Framework for Security Probing Large Language Models "We argue that it is time to rethink what constitutes ``LLM security'', and pursue a holistic approach to LLM security evaluation, where exploration and discovery of issues are central. To this end, this paper

So honored to receive the Outstanding Paper Award for our ConDA work! Thank you @aaclmeeting ! @liuhuan @SCAI_ASU @ASUEngineering

Richard Feynman said “What I cannot create, I do not understand”💡 Generative Models CAN create, i.e. generate, but do they understand? Our 📣new work📣 finds that the answer might unintuitively be NO🚫 We call this the 💥Generative AI Paradox💥 paper: https://t.co/AF6vxxC2kw

Join us this Wednesday in beautiful Bali! 🌴✨ Don't miss out on this amazing opportunity! See you there! #AACL2023 #Bali https://t.co/PV7xA8gzBK

We've released annotated slides for a talk titled "Evaluating LLMs is a minefield". Current ways of evaluating chatbots/LLMs don't work well, especially for questions about societal impact. There are no quick fixes. More research is needed. w/ @sayashk 🧵 https://t.co/6ZUh850wx3

Our paper on Contrastive Domain Adaptation for AI-Generated Text Detection got accepted to IJCNLP-AACL 2023! 🎉 Preprint: https://t.co/7azzvBy1Gg @liuhuan #NLP #nlproc

In “#ReinforcementLearning Methods for #Wordle: A POMDP/Adaptive Control Approach” by @sbhambr1, @Amrita_Bh, and @DBertsekas, we describe the on-line solution for Wordle using rollout, which is within 0.4% of the optimal & solves in seconds! @SCAI_ASU #AI https://t.co/1VjyRsFxFO

Glad to share that our review paper on #disinformation has been recognized as a #TopCitedArticle in Wiley's WIREs Data Mining and Knowledge Discovery 2021. W/ @Amrita_Bh @Faisal_Alatawi @tahoranazer @kaize0409 @Mansoureh_K @liuhuan https://t.co/3HHg8dkJ7v

You've probably seen results showing impressive few-shot performance of very large language models (LLMs). Do those results mean that LLMs can reason? Well, maybe, but maybe not. Few-shot performance is highly correlated with pretraining term frequency.

We (@liuhuan, @kaize0409, @LiJundong, @nvchawla) will give a tutorial about "Graph Minimally-Supervised Learning" at WSDM 2022 on Feb 21st! If you have registered for the conference, welcome to join our session (2:30 pm - 6:00 pm MT)! #WSDM2022

Fascinating! #neuroscience

We're using AI to create more accurate forecasting models to predict when and where floods will occur - proud to partner w/ India’s Central Water Commission as the first region to roll out early flood warnings in Search #GoogleAI #Searchis20

Women 👏 in 👏 tech 👏. Come on down- the bathroom lines are still non-existent 🚽