I’ll be attending ICLR2024 to present our work on progressive growth of LLMs (May 9th, poster session), feel free to chat! openreview.net/forum?id=rL7xs…

📢 Ever wonder about Ethics for NLP? Next Tuesday, our mentorship session with Mona Diab and Malihe Alikhani will address how to conduct ethical research, write about ethical concerns, and more! Details are below!

I'll be at #ICLR2024 from Mon to Sun!

Happy to chat w/ students interested in applying for PhDs, and connect w/ researchers in #LLMs #Causality #AISafety .

I'll be presenting our paper on Correlation-to-Causation (Corr2Cause) Inference for LLMs on Thu: arxiv.org/abs/2306.05836🎉

Congratulations to Dr Ashkan Kazemi Ashkan Kazemi! He completed his PhD working on methods to understand & limit misinformation online, co-advised by Dr.Perez-Rosas. Ash is now a research scientist at meedan, continuing his impactful work to address misinformation globally 🌎 🌟

Congrats to Dr. Laura Biester Laura Biester for her PhD graduation! Laura made advances in the use of NLP methods to model and understand temporal change in mental health. She is now an Asst.Prof at Middlebury College, teaching the next generation of computer scientists!🌟👩‍🎓

I vouch for Harry’s strong research skills, amazing mentorship qualities, and generally his positive constructive attitude toward learning and discovery. If you are considering doing a PhD in NLP, do consider applying! ⬇️

Hey #nlproc I'll be discussing 'Mismatches with your Ph.D. Advisors' in 1 1/2 days 📅. You can ask questions by Sli.do and join the Zoom 📹👇 w/ Rada Mihalcea (& hosted by Zhijing Jin and Oana Ignat 👩‍💻🎓🇷🇴). It's part of the ACL w ♥️mentorship initiative!

It’s always inspiring to see the diverse group of students in our program grow from having no research experience to completing impressive projects with their mentors. Kudos to these young researchers! Excited to see what they will do next! 🌟

ai.engin.umich.edu/stories/explor…

📢 Join us for the next ACL Mentorship session: 'Navigating a PhD Transfer and Handling Mismatches with Advisors'

📷 Tu April 23rd, 8:00-9:00pm EST / 12:00am-1:00am GMT (on 24th April)

Panelists:
Min-Yen Kan(@wing_nus), Rada Mihalcea(@Michigan_AI)

We've spent a tremendous amount of time reflecting whether the NLP task of Sentiment Classification (x=review, y=rating) is causal or anticausal since 2020. Check out our 2024 latest answer➡️arxiv.org/abs/2404.11055
💡We combined Causality and Psychology insights & improved #LLMs !

#MSLD2024 is about to start!
Experts from Midwest universities and research institutions will present their latest work, grab a coffee and join us!

Check out the amazing lineup of speakers and today's program here:
ai.engin.umich.edu/news/midwest-s…

Really excited that our paper 'A PhD Student’s🧑‍🎓 Perspective on Research in NLP in the Era of #LLMs ' will be at #COLING2024 ! We brainstormed 45 topics💡 that students can work on despite the LLMs. Co-led by Oana Ignat 👩‍💻🎓🇷🇴 Zhijing Jin and Rada Mihalcea with contributions from many.

🔊 Abstract submission deadline for the 17th Midwest Speech and Language Days is approaching on March 24! Consider submitting your work — we anticipate a big audience, and thus a great opportunity to get feedback on your latest research.

Mustango has been accepted at #NAACL2024 Congratulations to all the co-authors and a big thanks to Hugging Face AK and Microsoft Research Foundational Models Academic Research Program for all the support. Our HF demo huggingface.co/spaces/declare… experienced more than 20K visits!

What models we can build and what datasets we can construct often comes down to 💰 -- can one afford the budget? Our work proposes strategies to collect and use geo-diverse annotations on a budget, to balance model performance and annotation costs.

Delighted to welcome and host Zhijing Jin's talk on 'Causal Inference for Robust, Reliable, and Responsible NLP!'

🗓️ Friday, MARCH 15, 2024 @ 10:30 am ET

cse.engin.umich.edu/event/causal-i…

🚨Introducing our work on algorithmic puzzle solving with 𝐀𝐥𝐠𝐨𝐏𝐮𝐳𝐳𝐥𝐞𝐕𝐐𝐀, a new dataset designed to challenge multimodal language models in combining visual understanding, language processing, and algorithmic reasoning.

It’s been 4yrs since COVID-19 started. While we are all eager to be over it, the wiser take would be to figure what we’ve learned&what we’d do differently. With a great Computing Research team, we wrote a report on pandemic preparedness— #AI models are part of it.

cccblog.org/2024/02/29/vis…