UNC Computer Science
@unccs
Department of Computer Science - University of North Carolina at Chapel Hill Choose to #GIVE today - learn more here: http://linktr.ee/unccompsci
قد يعجبك
🚨 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…
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…
🚨 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…
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
🚨 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…
🎉 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…
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…
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/2025/10/08/ai-…
🎉 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…
🥳🥳 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: goo.gle/43wJWw8
🚨 🤯 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.
🚨 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 🧵
🎉 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…
🥳 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.
🌺 Join us in Hawaii at ICCV 2025 for the workshop “What is Next in Multimodal Foundation Models?” 🗓️ Monday, October 20 | 8:00 – 12:00📍Room 326 B We’ve got a stellar lineup of speakers & panelists— details here: 🔗 sites.google.com/view/mmfm4thwo… @ICCVConference
Can AI models teach you to shoot like Steph Curry? 🏀 Come to my talk on Challenges in Expert-Level Skill Analysis at 4:30 pm in Room 318-A tomorrow (Sunday) to find out! sauafg-workshop.github.io #ICCV2025
sauafg-workshop.github.io
SAUAFG Workshop – ICCV 2025
ICCV 2025 SAUAFG Workshop on AI-driven skill assessment, understanding, and feedback generation.
🗓Oct 19, 2025 | 📍Hawaii Convention Center, Room 318-A 👉 Learn more: sauafg-workshop.github.io 🔍 We'll explore AI-driven Skilled Activity Understanding, Assessment & Guidance generation in various domains from Surgery to Sports, from Robotics and Manufacturing to Education
sauafg-workshop.github.io
SAUAFG Workshop – ICCV 2025
ICCV 2025 SAUAFG Workshop on AI-driven skill assessment, understanding, and feedback generation.
🏆 Honored to share that SciVideoBench (scivideobench.github.io) received the Best Paper Award (Benchmark Track) at the ICCV 2025 Knowledge-Intensive Multimodal Reasoning Workshop! 🎉 Huge thanks to all co-authors again @TaojiannanYang @shoubin621 @mohitban47 @yeung_levy…
🚨 New Paper Alert! Introducing SciVideoBench — a comprehensive benchmark for scientific video reasoning! 🔬SciVideoBench: 1. Spans Physics, Chemistry, Biology & Medicine with authentic experimental videos. 2. Features 1,000 challenging MCQs across three reasoning types:…
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قد يعجبك
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Jialu Li
@JialuLi96 -
CMU School of Computer Science
@SCSatCMU -
UNC AI
@unc_ai_group -
Siebel School of Computing and Data Science
@siebelschool -
UBC Computer Science
@UBC_CS -
Yoav Artzi
@yoavartzi -
Mohit Bansal
@mohitban47 -
Computer Science @ The University of Manchester
@csmcr -
UW–Madison Computer Sciences
@WisconsinCS -
UMN Computer Science & Engineering
@UMNComputerSci -
Yi Lin Sung
@yilin_sung -
Archiki Prasad
@ArchikiPrasad -
Swarnadeep Saha
@swarnaNLP -
Adyasha Maharana
@adyasha10 -
Ziyang Wang
@ZiyangW00
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