Alex Yang

Our paper “LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking” has been accepted to #ISMAR2025 as a #TVCG paper! 🎉✨

🚨 New paper alert! 🚨 Can you believe it? Flawed thinking helps reasoning models learn better! Injecting just a bit of flawed reasoning can collapse safety by 36% 😱 — but we teach large reasoning models to fight back 💪🛡️. Introducing RECAP 🔄: an RL post-training method that trains models to override unsafe reasoning, reroute to safe & helpful answers, and stay robust — all without extra training cost. ✨ Safer reasoning 🤖 ✨ Stronger jailbreak resistance 🔓 ✨ Lower overrefusal 🙅 ✨ Preserved core reasoning capability 🧠 #LLM #ReasoningModels #RLHF #AISafety #Alignment #MachineLearning

📄 Paper: arxiv.org/abs/2508.15043 💻 Code: github.com/AlexanderHYang… A huge thank-you to my amazing collaborators Elliott Faa, Weijian Liu, Shunan Guo, @PoloChau, and @yalong_yang for making this work possible! 🙌

✨ With LitForager, researchers can: 📚 Organize papers in 3D to reveal connections 🔎 Discover papers with intelligent recommendations (topics, citations, co-authors) 👐 Interact naturally with gestures, voice & menus ⚡ Understand papers faster with AI insights

Our paper “LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking” has been accepted to #ISMAR2025 as a #TVCG paper! 🎉✨

“I did it to make my presentations look humorous. Nobody at MIT taught us DEI or respect.” - Excuse given by MIT Media Lab researcher who has received many recognitions. NOTE: Most MIT Media Lab researchers I know are highly respectful and morally upright.

Trustworthy machine learning focuses on building AI systems people can rely on: fair, transparent, secure, and aligned with human values. 🛡️ Learn more about our NeurIPS '24 joint research @GeorgiaTech & @IBMResearch , introducing the 'safety basin' concept, in the thread! 👇

🎉The coolest #CSE school in the world is hiring multiple faculty members! Application link below👇

Introducing KnowledgeVIS! 🧠 KnowledgeVIS is a #visualization tool that compares fill-in-the-blank LLM prompts, revealing stereotypes & biases 💯 Paper: arxiv.org/abs/2403.04758 Code: github.com/AdamCoscia/Kno… Check out how KnowledgeVIS helps NLP practitioners evaluate LLMs: 🧵

Two papers in the same session @ieeevis. Great collaborations with Xiaojuan Ma's lab @hkust, particularly @qian_hci, who is leading the composite vis. @luttul0110 presenting. +Sungwon, Chris North @VT_CS, @ticahere @hpfister @HarvardVCG and DoD for embodied data transformation!

Hello, #ieeevis! We're excited to share our work from @GeorgiaTech at this year's @ieeevis conference. Check out our papers, posters, and more at #VIS2024

CSE Prof. @PoloChau and his group are presenting two papers and two posters this week at @ieeevis! Check out the interactive graphic 🔗👇 for a peek of all Georgia Tech research presented this week, including award-winning work on Transformer Explainer! public.tableau.com/views/VIS2024/…

😎 Our paper on the LLM safety landscape has been accepted at @NeurIPSConf 2024! #Safety #LLM #MachineLearning

📢 Georgia Tech's School of Computational Science and Engineering has multiple faculty openings! cse.gatech.edu/faculty-hiring Join us at the coolest CSE department in the world! @GTCSE @gtcomputing @mlatgt

Want to make sense of large embeddings? WizMap it!📍 WizMap is an interactive visualization tool for exploring embeddings. Seamlessly navigate through millions of points, while gaining valuable insights from multi-resolution summaries!! 👉 Try it now: poloclub.github.io/wizmap/

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion abs: arxiv.org/abs/2305.03509 paper page: huggingface.co/papers/2305.03…

🎉Best thing being @GeorgiaTech prof is working with amazing students. Congrats to @AlexanderHYang for Best 1st Yr MS @twixupmysleeve for Best 2nd Yr Leadership @KevinYLi_ for Provost’s Academic Excellence & Best Senior in Biomedical Eng @nilakshdas for Best Doctoral Dissertation

Awards galore! ML PhD student Zijie (Jay) Wang is a recipient of the 2023 Apple Scholars in AI/ML PhD fellowship! Wang is one of only 22 young scholars from the around the world to receive the fellowship! Congratulations, @Jay4w! machinelearning.apple.com/updates/apple-…

@GTCSE @Jay4w @gtcomputing @mlatgt @PoloDataClub Congrats @Jay4w! 🎉 Well deserved!

Diffusion-based Generation, Optimization, and Planning in 3D Scenes abs: arxiv.org/abs/2301.06015 project page: scenediffuser.github.io

14 million text-to-image prompt dataset with their hyperparameters (DiffusionDB dataset from @polodataclub) Quite useful for both research & product at the same time huggingface.co/datasets/poloc…