Mayur Naik @AI4Code
Misra Family Professor @CIS_Penn. I do research on neurosymbolic AI and cybersecurity. cis.upenn.edu/~mhnaik/ Philadelphia, PA Joined January 2019-
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Prospective PhD students: my research group has openings starting in Fall 2026! We focus on building principled yet practical systems for trustworthy AI. We are developing foundation models and agentic frameworks for critical domains such as cybersecurity, robotics, and…
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Mayur Naik retweeted
📢 The Software Engineering group at @Cornell_Bowers is growing fast -- we're now 8 PhD students strong! I’m recruiting PhD students for Fall 2026! If you are interested in the intersection of SE and AI, apply to Cornell CS and reach out! Ddl: Dec 15, 2025. RT!
We introduce Delta Activations, a lightweight yet powerful mechanism to represent AI models, with practical applications such as model selection ("find the best model for task instance X") and model merging ("combine models A and B without re-training to obtain a better model").…
We introduce Delta Activations, a lightweight yet powerful mechanism to represent AI models, with practical applications such as model selection ("find the best model for task instance X") and model merging ("combine models A and B without re-training to obtain a better model").…
Mayur Naik retweeted
Swing by our poster session today at 11 if you're at ICML to learn more about speeding up neurosymbolic learning! We will be in the East Exhibition Hall A-B, # E-2003
Swing by our poster session today at 11 if you're at ICML to learn more about speeding up neurosymbolic learning! We will be in the East Exhibition Hall A-B, # E-2003
Mayur Naik retweeted
Very much enjoyed advocating for symbolic reasoning for Trustworthy AI in my NSF CISE lecture, the recording is now available at nsf.gov/events/neurosy…
Congratulations to Dr. Ziyang Li (@_ziyang_) on defending his dissertation today! Titled "Neurosymbolic Programming in Scallop: Design, Implementation, and Applications", this dissertation proposed Scallop, a unified programming system for combining the otherwise complementary…
Mayur Naik retweeted
Looking forward to discuss the promise of neurosymbolic approaches to trustworthy AI at @NSF CISE nsf.gov/events/neurosy…
Mayur Naik retweeted
One of the most effective things the U.S. or any other nation can do to ensure its competitiveness in AI is to welcome high-skilled immigration and international students who have the potential to become high-skilled. For centuries, the U.S. has welcomed immigrants, and this…
Foundation models can now perform many reasoning tasks via prompting alone. So do we still need to train neuro-symbolic systems? Our position paper argues that neuro-symbolic prompting, not training, is the path to generalizable and interpretable reasoning.
Foundation models can now perform many reasoning tasks via prompting alone. So do we still need to train neuro-symbolic systems? Our position paper argues that neuro-symbolic prompting, not training, is the path to generalizable and interpretable reasoning.
Mayur Naik retweeted
I am alarmed by the proposed cuts to U.S. funding for basic research, and the impact this would have for U.S. competitiveness in AI and other areas. Funding research that is openly shared benefits the whole world, but the nation it benefits most is the one where the research is…
Mayur Naik retweeted
We are excited to share Dolphin, a programmable framework for scalable neurosymbolic learning, to appear at ICML 2025! Links to paper and code in thread below 👇
Mayur Naik retweeted
Mayur Naik retweeted
Founders who were PhD or post-doc in my lab at Berkeley, **largely funded by NSF / DoD grants**, start-up, market cap (collected by OpenAI Deep Research)
Mayur Naik retweeted
🌟 We happily announce the ACM SIGSOFT Awards 2025 🌟 -> more details in the following posts. 🤝 Congratulations to all winners for their significant contributions and a big thanks to all colleagues who supported us in the selection committees!
Mayur Naik retweeted
Updating real-world large legacy projects like binutils? Meet (arxiv.org/abs/2501.14257) C2SaferRust: leveraging program analysis & LLMs to create idiomatic, safer Rust with (↓38%) raw pointers & (↓28%) unsafe code while preserving functionality 🚀 #rustlang #AI4code #AIAgent
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