UNC Computer Science
@unccs
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Department of Computer Science - University of North Carolina at Chapel Hill Choose to #GIVE today - learn more here: https://t.co/cLdenfM5G5
Chapel Hill, NC
Joined September 2009
PhD student @QiLuchao is democratizing generative AI for human faces, giving storytellers the opportunity to use and personalize AI tools to their own applications. Read More:
cs.unc.edu
Doctoral student Luchao Qi is working to democratize generative AI, giving storytellers without his experience in computer vision and artificial intelligence the opportunity to use and personalize AI...
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@unccs @mohitban47 Thanks @unccs! I am grateful for all the support from the department along the way!
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🎉Congrats to Vaidehi (advised by @mohitban47) for being awarded the prestigious Google PhD Fellowship, recognizing “researchers who understand that accelerating scientific discovery is vital to solving the world’s toughest challenges,” for her research on unlearning and privacy!
🥳🥳 Honored and grateful to be awarded a 2025 Google PhD Fellowship in Machine Learning and ML Foundations for my research on machine unlearning, defenses against adversarial attacks, and multi-agent privacy! ✨ Deep gratitude to my advisor @mohitban47 for his constant
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🚨 New paper alert! We’re thrilled to share our new preprint “PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise” ✨ LLMs generate text one token at a time, but factuality checks still wait for a full sentence. We extend NLI to text prefixes, enabling the
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So excited to share this work (which received very high reviewer scores!) led by Sapir! Why wait for a full sentence to find a hallucination? We built a model that detects factual errors on prefixes as they’re generated. This leads to huge faithfulness gains (our 3B model
🚨 New paper alert! We’re thrilled to share our new preprint “PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise” ✨ LLMs generate text one token at a time, but factuality checks still wait for a full sentence. We extend NLI to text prefixes, enabling the
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🚨 Excited to share Gistify! Often the easiest way to understand large/complicated repos is by playing around with test cases and tracing back through the code that is executed. Gistify tasks models with turning a codebase and an entry-point (e.g. command, unit test) into a
🚨 Excited to announce Gistify!, where a coding agent must extract the gist of a repository: generate a single, executable, and self-contained file that faithfully reproduces the behavior of a given command (e.g., a test or entrypoint). ✅ It is a lightweight, broadly applicable
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Last week, I gave a talk on Ethical Issues in LLMs at UNC's Parr Center for Ethics. The extended Q&A session was the best part! Thoughtful questions about bias, responsibility & accountability of AI judgment. Inspiring to see people thinking so deeply about ethics in tech. @unccs
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🚨 Check out our awesome students/postdocs' papers at #EMNLP2025 and say hi to them 👋! Also, I will give a keynote (virtually) on "Attributable, Conflict-Robust, and Multimodal Summarization with Multi-Source Retrieval" at the NewSumm workshop. -- Jaehong (in-person) finished
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🎉 Excited to share that 5/5 of my papers (3 main, 2 findings) have been accepted at #EMNLP2025, in video/multimodal reasoning, instructional video editing, and efficient LLM adaptation & reasoning! 🚨 I’m recruiting Ph.D. students to join the Multimodal AI Group at NTU College
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It was an honor and pleasure to give a keynote at the 28th European Conference on Artificial Intelligence (#ECAI2025) in beautiful Bologna, and engage in enthusiastic discussions about trustworthy + calibrated agents, collaborative reasoning + privacy, and controllable multimodal
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As AI systems grow more complex, they often rely on multiple “agents." But what happens if an agent gives wrong or harmful information? UNC researcher Tianlong Chen built a system that helps detect which agent in a group might be spreading misinformation.
its.unc.edu
As AI systems grow more complex, they often rely on multiple “agents." But what happens if an agent gives wrong or harmful information?
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🎉 Big congratulations to Vaidehi on being awarded a Google PhD Fellowship in Machine Learning and ML Foundations for her important research contributions in machine unlearning for LLMs/VLMs, defenses against adversarial attacks, and multi-agent privacy! #ProudAdvisor 👇👇
🥳🥳 Honored and grateful to be awarded a 2025 Google PhD Fellowship in Machine Learning and ML Foundations for my research on machine unlearning, defenses against adversarial attacks, and multi-agent privacy! ✨ Deep gratitude to my advisor @mohitban47 for his constant
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🥳🥳 Honored and grateful to be awarded a 2025 Google PhD Fellowship in Machine Learning and ML Foundations for my research on machine unlearning, defenses against adversarial attacks, and multi-agent privacy! ✨ Deep gratitude to my advisor @mohitban47 for his constant
🎉 We're excited to announce the 2025 Google PhD Fellows! @GoogleOrg is providing over $10 million to support 255 PhD students across 35 countries, fostering the next generation of research talent to strengthen the global scientific landscape. Read more: https://t.co/0Pvuv6hsgP
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🚨 🤯 Wow! Yi Lin is an amazing researcher, who works on very hard and important problems in LLM and VLM training, RL, PEFT, Quantization, etc. -- ironically, he had several other top offers just a few months ago! Hire him ASAP if you want to pick up a top talent (and several
Tough week! I also got impacted less than 3 months after joining. Ironically, I just landed some new RL infra features the day before. Life moves on. My past work spans RL, PEFT, Quantization, and Multimodal LLMs. If your team is working on these areas, I’d love to connect.
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🚨 Excited to share PoSH, a graph-based, fine-grained, and interpretable metric for detailed image descriptions! PoSH allows us to not only evaluate generated image descriptions but localize hallucinations and errors in them. To test PoSH, we also introduce DOCENT, a new and
🚨 Are your detailed image descriptions what you (really really) want? Let PoSh be the judge. Introducing PoSh, a new graph-based metric for detailed image descriptions, and DOCENT, a novel & challenging benchmark of art w/ detailed descriptions and strong human judgments 🧵
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🎉 Big congrats to Zaid on being awarded the NDSEG PhD Fellowship, for his innovative contributions in environment/data generation, skill-based self-improvement and adaptable agents, visual program synthesis, and world model inference! #ProudAdvisor 👇👇
🥳 Honored and grateful to be awarded an NDSEG Fellowship in Computer Science! 💫🇺🇸 Big thanks to my advisor @mohitban47 for his guidance, and shoutout to my lab mates at @unc_ai_group, collaborators, internship advisors, and mentors for their support 🤗 Excited to continue
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🥳 Honored and grateful to be awarded an NDSEG Fellowship in Computer Science! 💫🇺🇸 Big thanks to my advisor @mohitban47 for his guidance, and shoutout to my lab mates at @unc_ai_group, collaborators, internship advisors, and mentors for their support 🤗 Excited to continue
🎉 Congratulations to our student Zaid Khan (advised by @mohitban47) for being awarded a prestigious NDSEG Fellowship for his work on environment generation! Established in 1989, the fellowship has an acceptance rate of <7% and covers diverse science and engineering disciplines.
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🎉 Congratulations to our student Zaid Khan (advised by @mohitban47) for being awarded a prestigious NDSEG Fellowship for his work on environment generation! Established in 1989, the fellowship has an acceptance rate of <7% and covers diverse science and engineering disciplines.
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