Official twitter handle for the Muslims in Machine Learning (MusiML) workshop. Join us on July 13 at #ICML2025. Hope to see you there!
Vancouver, British Columbia
Joined June 2023
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Muslims in ML Workshop retweeted
Kicking off NeurIPS 2025 today with workshops in Mexico City! Researchers are gathering to dive deep into specialized topics and collaborative discussions. What are you talking about at the workshops? #NeurIPS2025 #NeurIPSCDMX
Muslims in ML Workshop retweeted
🎙️ New podcast on Professional Reasoning Bench by @scale_AI!
PRBench fills a missing gap in current evals by covering
• open-ended tasks
• real-world Finance and Legal scenarios
• challenges requiring substantive reasoning 🧠
Link to paper: arxiv.org/pdf/2511.11562
In the latest Chain of Thought, @Bckenstler, @afeyzaakyurek, @agxsai, and @calvincbzhang dive deep on our newest Professional Reasoning Benchmark (PRBench).
Together, they explore why many models struggle to perform on real-world legal and financial reasoning tasks:
Muslims in ML Workshop retweeted
Outstanding Papers
Safety Alignment Should be Made More Than Just a Few Tokens Deep. Xiangyu Qi, et al.
Learning Dynamics of LLM Finetuning.
Yi Ren and Danica J. Sutherland.
AlphaEdit: Null-Space Constrained Model Editing for Language Models.
Junfeng Fang, et al.
Muslims in ML Workshop retweeted
Announcing the Outstanding Paper Awards at ICLR 2025! Congratulations to all the authors for their contributions! blog.iclr.cc/2025/04/22/anno…
Muslims in ML Workshop retweeted
Announcing the keynote speakers for #ICLR2025! Speakers will cover topics ranging from foundational advances in language models, AI safety, open-ended learning, and the nature of intelligence itself. blog.iclr.cc/2025/04/11/anno…
Muslims in ML Workshop retweeted
Lama Ahmed presenting RedTeaming at #OpenAI at #MusIML workshop #NeurIPS2024
@MuslimsinML @_lamaahmad
Muslims in ML Workshop retweeted
I was excited to present our work on subpopulation shifts in medical imaging at @MuslimsinML's #NeurIPS2023 workshop earlier this week! Inspired by the incredible research within our community and grateful to the organizers. Looking forward to future versions :)
Muslims in ML Workshop retweeted
Excellent work by @afeyzaakyurek on editing LLMs with NL feedback — models can be biased in many ways, including refusing to answer *any* questions about minority/protected groups at all!
#NeurIPS2023
Muslims in ML Workshop retweeted
Room is buzzing with interesting conversation at @MuslimsinML affinity workshop at #NeurIPS2023 . Next up is our last keynote of the day by @afeyzaakyurek
Muslims in ML Workshop retweeted
So happy we ended up having a last minute talk by @MarzyehGhassemi on Ethical AI in Health @MuslimsinML!
I am a big fan of @MarzyehGhassemi’s work and I also like her so much as a female researcher, mentor, and role model. Very thankful I got a front seat to her talk! 🥳
Muslims in ML Workshop retweeted
Incredible talk by Dr. Marzyeh Ghassemi (@MarzyehGhassemi) about biases in *currently* deployed clinical LLMs @MuslimsinML #NeurIPS2023
Muslims in ML Workshop retweeted
Lots of great questions, impressed by how much work goes into alignment and risk assessment @OpenAI!
Muslims in ML Workshop retweeted
When is it responsible to deploy a general purpose AI system? @OpenAI’s @_lamaahmad is answering this question right now @MuslimsinML!
Very exciting talk about identifying the potential risks of @OpenAI’s systems through Red Teaming!
Muslims in ML Workshop retweeted
Lama Ahmad (@_lamaahmad) is giving an excellent keynote @MuslimsinML about Red Teaming @OpenAI! The team spent 6 months red teaming gpt-4 before release!
#NeurIPS2023
Muslims in ML Workshop retweeted
Looking forward to this talk at 11.45 am on Monday at #NeurIPS2023!
I will talk about improving language model performance using feedback from humans 🗣️ and other language models 🐥
If interested in using natural language feedback for safety & alignment, please say hi 👋🏼
🌟Keynote Talk🌟Afra Feyza Akyürek (@afeyzaakyurek) is a fifth year PhD student in natural language processing at Boston University. Her research focuses on editing and improving machine learning models after deployment.
