UNC Computer Science @unccs
Department of Computer Science - University of North Carolina at Chapel Hill Choose to #GIVE today - learn more here: https://t.co/cLdenfM5G5 cs.unc.edu Chapel Hill, NC Joined September 2009-
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First-year student and @unccs major Papa Asamoah hopes to combine his passions for medicine and technology to better assist patients. He began that work this summer as a #UNC 1955 Fellow, a program that helps Tar Heels transition into college life go.unc.edu/Ta6t2
🚨 Excited to share new work on LLMs and loopholes, accepted to #EMNLP2025 main! When models are faced with conflicting goals and ambiguous instructions that would let them exploit a loophole, many of the strongest models (Qwen, GPT4o, Claude, Gemini) do. This is a new risk and…
🥳🥳 Excited to share that our work GLIDER (Global and Local Instruction-Driven Expert Router) has been accepted to #EMNLP2025 main conference! Our approach tackles a critical challenge in MoE routing: existing methods excel at either held-in OR held-out tasks, but rarely both.…
🥳🥳 Excited to share that our work GLIDER (Global and Local Instruction-Driven Expert Router) has been accepted to #EMNLP2025 main conference! Our approach tackles a critical challenge in MoE routing: existing methods excel at either held-in OR held-out tasks, but rarely both.…
@carolinaclub @unccollege @OoR_UNC @UNCpublichealth @UNC_SOM @unc_ort @UNC_SSW @unc_our @UNCLibrary @RENCI @uncsils @NCATResearch @nccusgs @UNCGResearch @CLT_CCI @ECUResearch @UNCWResearch @ResearchatApp @uncfsu @NCStateResearch @WCU 📣ATTN students and postdocs: we want to hear about your research at Data Science Day! Submit your poster abstract by 5 p.m., Sept. 1. go.unc.edu/SubmitPosterDS… #DataScience
At 3 p.m. Aug. 28, #UNC will host a memorial event to honor the late professor Zijie Yan. The event includes a memorial site dedication outside Caudill Labs along with a lecture for Yan's doctoral adviser. Learn more about the event unc.live/465I0wh
📐A fascinating VLM-centric framework that mimics how physicists intuitively discern and discover formulas—bridging multimodal perception with symbolic reasoning. 🚀 Promising direction for AI-driven scientific discovery. 👇See details from Jiaqi’s poster below.
📐A fascinating VLM-centric framework that mimics how physicists intuitively discern and discover formulas—bridging multimodal perception with symbolic reasoning. 🚀 Promising direction for AI-driven scientific discovery. 👇See details from Jiaqi’s poster below.
🎉 Excited to share that our Video-Skill-CoT paper has been accepted to #EMNLP2025 Findings! Video-Skill-CoT is a domain-adaptive video reasoning framework that automatically constructs skill-aware Chain-of-Thought (CoT) supervisions. It builds a shared skill taxonomy from…
🎉 Excited to share that our Video-Skill-CoT paper has been accepted to #EMNLP2025 Findings! Video-Skill-CoT is a domain-adaptive video reasoning framework that automatically constructs skill-aware Chain-of-Thought (CoT) supervisions. It builds a shared skill taxonomy from…
🎉Excited to share that our MEXA paper is accepted to #EMNLP2025 Findings! 🚀MEXA is a general, training-free multimodal reasoning framework that dynamically selects and aggregates experts/skills for deep, free-form reasoning, and is flexible & extensible to new…
🎉Excited to share that our MEXA paper is accepted to #EMNLP2025 Findings! 🚀MEXA is a general, training-free multimodal reasoning framework that dynamically selects and aggregates experts/skills for deep, free-form reasoning, and is flexible & extensible to new…
🎉 RACCooN got accepted at #EMNLP2025 Main! 🚀 Our MLLM+Video Diffusion (Video-to-Paragraph-to-Video, V2P2V) framework enables effortless video editing w/ auto-generated descriptions, multi-granular pooling & mask planning. RACCooN Achieves +9.4%p human eval & 49.7%↓ FVD,…
🎉 RACCooN got accepted at #EMNLP2025 Main! 🚀 Our MLLM+Video Diffusion (Video-to-Paragraph-to-Video, V2P2V) framework enables effortless video editing w/ auto-generated descriptions, multi-granular pooling & mask planning. RACCooN Achieves +9.4%p human eval & 49.7%↓ FVD,…
Excited to share that MAgICoRe has been accepted to #EMNLP2025 main! 🎉 Our work identifies 3 key challenges in LLM refinement for reasoning: 1) Over-correction on easy problems 2) Fail to localize and fix its own errors 3) Too few refinement iterations for harder problems…
Excited to share that MAgICoRe has been accepted to #EMNLP2025 main! 🎉 Our work identifies 3 key challenges in LLM refinement for reasoning: 1) Over-correction on easy problems 2) Fail to localize and fix its own errors 3) Too few refinement iterations for harder problems…
🎉Our Video-RTS paper has been accepted at #EMNLP2025 Main!! We propose a novel video reasoning approach that combines data-efficient reinforcement learning (GRPO) with video-adaptive test-time scaling, improving reasoning performance while maintaining efficiency on multiple…
🎉Our Video-RTS paper has been accepted at #EMNLP2025 Main!! We propose a novel video reasoning approach that combines data-efficient reinforcement learning (GRPO) with video-adaptive test-time scaling, improving reasoning performance while maintaining efficiency on multiple…
📢 Excited to announce RotBench! We show that the intuitive task of identifying image rotation is challenging for SoTA MLLMs - even with various forms of auxiliary information (captions, depth maps, segmentation maps), CoT reasoning, ICL, or other guided reasoning approaches.
📢 Excited to announce RotBench! We show that the intuitive task of identifying image rotation is challenging for SoTA MLLMs - even with various forms of auxiliary information (captions, depth maps, segmentation maps), CoT reasoning, ICL, or other guided reasoning approaches.
📢 Introducing RotBench, which tests whether SoTA MLLMs (e.g., GPT-5, GPT-4o, o3, Gemini-2.5-pro) can identify the rotation of input images (0°, 90°, 180°, and 270°). Even frontier MLLMs struggle at this spatial reasoning task that humans solve with >98% Acc. ➡️ Models struggle…
🎉Congratulations to @JJBakita and James Anderson on the Best Paper Award at ECRTS 2025! cs.unc.edu/news-article/b…
Tar Heels, it's so great to have you back.🐏 Here's to a new year!🎉 📷: @UNC, FDOC 2024
Earlier this month, 40 researchers gathered at @UNC's campus for the 2025 WiSDM workshop, hosted by Harlin Lee and Yifei Lou. Attendees spent the week tackling challenges using data science—the connections made were just as important as the research. 🔗 go.unc.edu/2025WiSDM
#UNC computer scientist Snigdha Chaturvedi is developing artificial intelligence systems with empathy and social awareness to understand the nuances of human language. Her @unccs research helps combat potential #AI misuse and bias go.unc.edu/b3NCp
Introducing Bifrost-1 Previous approaches to combine LLMs with diffusion models for image generation train the LLMs to produce visual tokens—essentially "a foreign language" they must learn—to communicate with the diffusion model What if MLLMs could connect to diffusion models…
Introducing Bifrost-1 Previous approaches to combine LLMs with diffusion models for image generation train the LLMs to produce visual tokens—essentially "a foreign language" they must learn—to communicate with the diffusion model What if MLLMs could connect to diffusion models…
🤔 Can we bridge MLLMs and diffusion models more natively and efficiently, by having MLLMs produce patch-level CLIP latents already aligned with their visual encoders, while fully preserving MLLM's visual reasoning capabilities? Introducing Bifrost-1: 🌈 > High-Fidelity…

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Snigdha Chaturvedi �... @snigdhac25
2K Followers 223 Following Associate Professor at the University of North Carolina at Chapel Hill
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92 Followers 520 Following UG Research Assistant at MURGe-Lab w/ @mohitban47, undergrad at @unccs. Interested in LLM Compression, interpretability, and embedded applications
Akshay Paruchuri @Yahskapar
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Isabella (Izzi) Hinks @hinks_thinks
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127 Followers 191 Following Ph.D. student @unccs working on multimodal learning including audio📣, videos🎬, and language💬.
Vaidehi Patil @vaidehi_patil_
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Abhay Zala @AbhayZala7
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468 Followers 483 Following PhD student @unccs | Intern @AdobeResearch | Multimodal, Video, OOD, Embodied AI
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882 Followers 954 Following Ph.D. Student @unccs, @uncnlp, MURGe-Lab. Intern @SFResearch. Formerly student researcher @Google. LLM reasoning & efficiency.
Han Lin @hanlin_hl
571 Followers 870 Following PhD @UNC | MS @Columbia | Research Intern @AIatMeta| Working on generative models, multimodal learning, and LLMs
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Ziyang Wang @ZiyangW00
355 Followers 343 Following CS PhD student @uncnlp @unc, Research Intern @salesforce | prev research intern @meta and @amazon, work on video reasoning , long videos.
Shoubin Yu @shoubin621
756 Followers 855 Following Ph.D. Student at @unccs @uncnlp, advised by @mohitban47. Interested in multimodal AI.
Zaid Khan @codezakh
553 Followers 862 Following @uncnlp with @mohitban47 working on grounded reasoning + multimodal agents // currently @allen_ai formerly @neclabsamerica // bs+ms CompE @northeastern
Mohaiminul (Emon) Isl... @mmiemon
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Md Taksir Hasan Majum... @HasanTaksir
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Tianlong Chen @TianlongChen4
946 Followers 18 Following Assistant Professor at UNC Chapel Hill (@unccs, @unc).
Yi Lin Sung @yilin_sung
719 Followers 818 Following RS@Meta MSL | PhD at @unccs | LLM post-training, Multimodality, Efficiency
Huaxiu Yao @HuaxiuYaoML
4K Followers 569 Following Assistant Professor of Computer Science @UNC @unccs @uncsdss | Postdoc @StanfordAILab | Ph.D. @PennState | #foundationmodels, #EmbodiedAI, #Alignment | he/him
CompCy Lab @ UNC @comp_cy
254 Followers 446 Following single-cell bioinformatics lab focusing on the immune system! PI: @natstann /in {@unccs,@compmedunc}.
Ego4D @ego4_d
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Adyasha Maharana @adyasha10
725 Followers 701 Following Research Scientist @DbrxMosaicAI. Data curation, vision+language, AI+health. Previously @unccs PhD, @Snap, @allen_ai, @AdobeResearch, @IHME_UW
Han Wang @HanWang98
252 Followers 563 Following PhD student @unc @unccs @unc_ai_group; Intern @AMD; Formerly @AmazonScience @MSFTResearch @NlpWestlake. RT & like ≠ endorsements. Views are my own. He/him
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Jaehong Yoon @jaeh0ng_yoon
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