UNC AI
@unc_ai_group
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AI Group (NLP/CV/ML etc) at @UNCCS @UNC Faculty: @mohitban47+@gberta227+@snigdhac25+@shsriva+@tianlongchen4+@huaxiuyaoml+@dingmyu+@zhun_deng +@SenguptRoni et al
Joined June 2017
🚨🎓 We have several PhD (and postdoc) openings in NLP+CV+ML+AI in beautiful Chapel Hill 👇. Please RT+apply & ping our faculty for any questions (application-fee waivers & no GRE requirement)! . @mohitban47 @gberta227 @snigdhac25 @TianlongChen4 @shsriva @HuaxiuYaoML + others.🧵.
Check out our @uncnlp group for your PhD applications! We have no GRE requirements + continue our application-fee waivers! Please RT+apply (we have postdoc openings too) & ping us for any questions!🙂. We strongly encourage diversity. Direct FAQ page link:
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RT @ArchikiPrasad: 🎉 Glad to see our work on handling conflicting & noisy evidence and ambiguous queries in RAG systems (via a new benchmar….
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RT @HanWang98: 🥳 Excited to share our work -- Retrieval-Augmented Generation with Conflicting Evidence -- on addressing conflict in RAG due….
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RT @_akhaliq: Video-RTS. Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning .
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RT @ZiyangW00: Thanks @_akhaliq for sharing our work Video-RTS on RL+TTS for efficient+enhanced video reasoning (more details in this threa….
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RT @shoubin621: 🚨 Check our new paper, Video-RTS, a novel and data-efficient RL solution for complex video reasoning tasks, complete with v….
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RT @jaeh0ng_yoon: 🚀 Check out our new paper Video-RTS — a data-efficient RL approach for video reasoning with video-adaptive TTS!. While pr….
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RT @ZiyangW00: 🚨Introducing Video-RTS: Resource-Efficient RL for Video Reasoning with Adaptive Video TTS! . While RL-based video reasoning….
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RT @unccs: Breaking: @unccs Ron Alterovitz's research in @SciRobotics shows AI-guided robots outperform human physicians in medical needle….
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RT @prateeky2806: @mohitban47 @AIatMeta Thank you so much for your support and help! I learned a lot during my PhD. The research freedom in….
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RT @mohitban47: @prateeky2806 @AIatMeta Congrats again @prateeky2806, proud of you + best wishes 💙, looking forward to your exciting contri….
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RT @prateeky2806: I've officially joined Meta Superintelligence Labs (MSL) org in the Bay Area. I'll be working on critical aspects of pre-….
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RT @EliasEskin: 🎉 Very excited to see TaCQ — our work on task-conditioned mixed-precision quantization that draws on interpretability metho….
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RT @hanqi_xiao: 🎉 Excited to share that TaCQ (Task-Circuit Quantization), our work on knowledge-informed mixed-precision quantization, has….
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RT @ArchikiPrasad: 🥳Our work UTGen & UTDebug on teaching LLMs to generate effective unit tests & improve code debugging/generation has been….
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RT @unilightws: The UniLight Workshop at @ICCVConference 2025 focuses on the evaluation of lighting-related tasks such as relighting, compo….
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RT @May_F1_: 🧠 How can AI evolve from statically 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘢𝘣𝘰𝘶𝘵 𝘪𝘮𝘢𝘨𝘦𝘴 → dynamically 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘪𝘮𝘢𝘨𝘦𝘴 as cognitive workspaces, similar….
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RT @jmin__cho: Welcome to Chapel Hill, Hyunji! Looking forward to seeing your exciting future research at MURGe-Lab and @unc_ai_group!.
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RT @EliasEskin: Welcome to UNC @hyunji_amy_lee, looking forward to continuing to work together! 🎉🎉.
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