UCSB AI @UCSB_AI
AI Group @ucsantabarbara. Profs. @xwang_lk, @YuhengBu, Xifeng Yan, @WilliamWangNLP, @CodeTerminator. Account run by Student Social Committee. nlp.cs.ucsb.edu Santa Barbara, CA Joined July 2021-
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How well can AI research agents explore new scientific ideas? The latest paper from our lab, Heuresis, combines coding agents with search and quality-diversity algorithms. Algorithms that provide better exploration are the key to unlock new ideas. Check out this thread👇
Key to realizing Auto Research Agents that can make novel discoveries in AI is understanding and improving their exploration capabilities. To this end, we built Heuresis, a composable framework that combines coding agents with arbitrary search algorithms within a flexible loop.
Key to realizing Auto Research Agents that can make novel discoveries in AI is understanding and improving their exploration capabilities. To this end, we built Heuresis, a composable framework that combines coding agents with arbitrary search algorithms within a flexible loop.
I will be attending @icmlconf in Seoul 🇰🇷 next week presenting SAW-Bench!! Would love to chat about embodied perception, spatial reasoning, world modeling, and general video understanding 😃 DMs are open 🙌 ⌚️Tue, Jun 7, 10:30 am -- 12:15 pm 📍Hall A #4309
Human perception is inherently situated – we understand the world relative to our own body, viewpoint, and motion. To deploy multimodal foundation models in embodied settings, we ask: “Can these models reason in the same observer-centric way?” We study this through SAW-Bench:
Auto-research is a search problem. 𝐒𝐞𝐚𝐫𝐜𝐡 𝐢𝐬 𝐚 𝐟𝐨𝐫𝐦 𝐨𝐟 𝐡𝐨𝐥𝐢𝐬𝐭𝐢𝐜 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐨𝐯𝐞𝐫 𝐚𝐧 𝐞𝐯𝐨𝐥𝐯𝐢𝐧𝐠 𝐥𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞 𝐨𝐟 𝐩𝐨𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬. A scientist does not simply solve a task. They generate hypotheses, design experiments, interpret failures, update beliefs, and decide where to explore next. The central challenge is navigating the search space efficiently. This perspective is largely missing from today’s autonomous research systems, where reasoning is often confined to a single trajectory. In ARTS, we introduce a reasoning-guided tree search framework with test-time learning, enabling agents to reason about the search process itself. We show that a fine-tuned 4B model can achieve performance comparable to frontier closed-model research agents on MLGym and MLEBench, while operating at substantially lower inference cost. More broadly, we believe that progress in autonomous research will increasingly come from better reasoning-driven search, not just larger models.
Automated discovery is a search problem over combinatorially large spaces. It requires reasoning to explore promising ideas while handling long contexts. Introducing ARTS, a search algorithm that (i) reasons to guide exploration and (ii) test-time trains to handle long context
While AI scientists are getting better, two core challenges remain: (i) deciding what to explore next and (ii) handling the growing context. ARTS addresses both with reasoning-guided exploration and test-time RL to learn from long search histories.
Automated discovery is a search problem over combinatorially large spaces. It requires reasoning to explore promising ideas while handling long contexts. Introducing ARTS, a search algorithm that (i) reasons to guide exploration and (ii) test-time trains to handle long context
A good researcher has intuition about when to drop a line of work and when to push. Current auto-discovery systems delegate this decision to scalar scores, which cannot represent this judgment. ARTS (Agentic Reasoning for Tree Search) reasons over the search state to decide.
Automated discovery is a search problem over combinatorially large spaces. It requires reasoning to explore promising ideas while handling long contexts. Introducing ARTS, a search algorithm that (i) reasons to guide exploration and (ii) test-time trains to handle long context
Excited to be at @icmlconf in Seoul🇰🇷🎉! Presenting my work on Reasoning, RL, Co-Evolution & automated discovery. Would love to chat about RL, Agents, Reasoning, Automated Discovery, Co-Evolution & anything else. Come say hi by my posters July 8 and 9 in Hall A! 🙌
Interesting observation: even after TTT, diversity doesn't collapse. We test-time-train the ARTS "scientist" on a simple, performance-only reward. Intuition says this should collapse solution diversity. But it doesn't, this is attributed to verbalized sampling which still surfaces the low-probability solution.
When the search history outgrows the context window, ARTS* test time trains the scientist on its own search using reinforcement learning, applying GRPO with a percentile reward to instill the search into the weights. A 4B scientist then matches o3 at much lower inference cost.
Several of our students will be presenting at @icmlconf in Seoul this week! 🇰🇷 Work spanning RL, agents, automated discovery, spatial intelligence & robotics. Come say hi by the posters 👋
Automated discovery is a search problem over combinatorially large spaces. It requires reasoning to explore promising ideas while handling long contexts. Introducing ARTS, a search algorithm that (i) reasons to guide exploration and (ii) test-time trains to handle long context
Had so much fun working on this! ABC provides robot data and base models for all!
Introducing ABC: open data, training, and infrastructure for robotics. We release the largest teleop dataset to date, and extensively investigate design decisions, pretraining, and post-training techniques. @arthurallshire @Cinnabar233 @adamrasb @redstone_hong @davidrmcall
Excited to share that our paper SAW-Bench: Learning Situated Awareness in the Real World received the Best Paper Award Runner-Up at the #CVPR2026 WMAS workshop! Congratulations to all co-authors, and thanks to the organizers and reviewers for the recognition. Special thanks to @jieneng_chen for hosting me at WMAS!
Human perception is inherently situated – we understand the world relative to our own body, viewpoint, and motion. To deploy multimodal foundation models in embodied settings, we ask: “Can these models reason in the same observer-centric way?” We study this through SAW-Bench:
Congratulations to @_Chuhan_Li , @xwang_lk, and their collaborators for their SAW-Bench paper on receiving the Best Paper Award Runner-Up from the CVPR 2026 WMAS workshop! 🏆
Human perception is inherently situated – we understand the world relative to our own body, viewpoint, and motion. To deploy multimodal foundation models in embodied settings, we ask: “Can these models reason in the same observer-centric way?” We study this through SAW-Bench:
📜Reasoning Within the Mind: Dynamic Multimodal Interleaving in Latent Space: A training-free multimodal reasoning framework that interleaves latent reasoning and visual evidence, improving both reasoning accuracy and visual grounding x.com/liuchen0293814…
🧠 Can Multimodal Models Think Like Humans? Most multimodal models reason in rigid pipelines: either see once, then overthink in text or constantly use external visual tools to re-check. Can reasoning and perception be dynamically interleaved like in the human mind? 👤 Human:
📜SAW-BENC evaluates situated awareness in real-world egocentric videos: can a model track where it is, where it came from, and what actions are possible from its current viewpoint? Results reveal a large gap between current multimodal models and humans. x.com/_Chuhan_Li/sta…
Human perception is inherently situated – we understand the world relative to our own body, viewpoint, and motion. To deploy multimodal foundation models in embodied settings, we ask: “Can these models reason in the same observer-centric way?” We study this through SAW-Bench:
📜Self-Evolving 3D Scene Generation from a Single Image: A self-evolving framework for single-image 3D scene generation that alternates between reconstruction and novel-view synthesis, progressively improving geometry, coverage, and texture quality x.com/KaizhiZheng/st…
🚀 Introducing EvoScene: Self-Evolving 3D Scene Generation from a Single Image! Generating complete, textured 3D scenes from a single photo is challenging due to limited coverage and inconsistent textures. EvoScene solves this with a novel, training-free, self-evolving framework
Going to Denver 🏔️ for CVPR? UCSB is having a great presence! Make sure to checkout these works from our lab! 🧵👇
New update: we decided to fully convert from UCSB NLP&AI to UCSB AI for simplicity. New X handler: x.com/UCSB_AI New Github org: github.com/UCSB-AI
🤔It is time to rethink how we evaluate agent memory 🌍 As agents become longer horizon and more autonomous, memory is no longer just a module for storing past chats. 🛠️ It determines how agents track changing worlds, learn from past actions, revise outdated information, and reuse experience for future decisions. 🔍 This raises three key questions: Are human designed write store retrieve memory pipelines still the best choice? If harnesses such as Codex, Claude Code, and OpenClaw already let agents observe, act, call tools, write files, and reorganize context, can memory also be managed by the harness itself? Do current evaluations really cover how agent memory is used in realistic settings? Many benchmarks are still text centric or single modal, with limited pressure from screenshots, GUIs, tool feedback, and environment changes. ❓ Is final QA accuracy enough? 🔥 We present WorldMemArena, a multimodal benchmark for evaluating agent memory through action world interaction. 📌 Key insights: 🧩 Memory is a lifecycle, not a static cache. 📉 Better memory storage does not necessarily lead to better final performance. 🖼️ Multimodal memory remains a major bottleneck for current systems. 🌍 Real agentic trajectories expose the fragility of memory systems. ⚙️ Harness-based memory is more flexible, but still costly and unstable.
William Wang @WilliamWangNLP
22K Followers 770 Following CEO & Founder, @AlphaDesignAI. We make https://t.co/1LfDYicsF2 I'm also Mellichamp Chair Prof. at UCSB CS. PhD @ CMU SCS.
Bill Yuchen Lin @billyuchenlin
27K Followers 3K Following RL for coding @xAI @SpaceX Affiliate Assistant Prof @UW. Ex: @allen_ai; Google, Meta FAIR.
Xin Eric Wang @xwang_lk
22K Followers 1K Following Professor @ucsantabarbara. Head of Research @SimularAI. Director @ucsbcrml @UCSB_AI. Build the Science of Multimodal AI Agents. AI for Humanity in the long run.
Yu Su @ysu_nlp
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Jim Fan @DrJimFan
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Michael Saxon @m2saxon
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Sewon Min @sewon__min
16K Followers 899 Following Assistant professor @Berkeley_EECS @berkeley_ai || Research scientist at @allen_ai || PhD from @uwcse @uwnlp
Delip Rao e/σ @deliprao
69K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈
Sean Ren @xiangrenNLP
14K Followers 563 Following 🍦Building @SaharaAI🍦| Professor @USCViterbi @nlp_usc | @MIT TR 35 , @ForbesUnder30 | Prev: @allen_ai, @Snapchat, @Stanford, @UofIllinois
Sebastian Gehrmann @sebgehr
7K Followers 2K Following Head of Responsible AI, CTO office @Bloomberg. Formerly LLMs @ Google Brain / PhD @ Harvard. views my own
Tao Yu @taoyds
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Pan Lu @ ICML 2026 @lupantech
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Liangming Pan @PanLiangming
2K Followers 902 Following Assistant Professor, Peking University (@PKU1898) | Former AP @UofAInfoSci | Postdoc @ucsbNLP | Ph.D. @NUSingapore | Researcher in NLP, LLMs & Reasoning
Peng Qi @qi2peng2
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🌴Muhao Chen🌴 @muhao_chen
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Qinyuan Ye @qinyuan_ye
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Robby Targaryen 🐉 @RobbyTargaryen
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udontknow @bigbigmusic
215 Followers 7K Following B_eff(Attention) = (sum(Attention_i^2))^(-1) Is All You Need Semantic-Driven Development is the core paradigm.
Tarry Singh @tarrysingh
29K Followers 5K Following I run an AI Research Lab & startups in Europe 🇪🇺 & Middle East 🇦🇪 , views are my own/personal 🪐 + ✝️
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Xinhao Lou @LhTy26
1 Followers 43 Following Visiting @UC Berkeley | CS undergrad@Westlake Univ Visiting Student @CVGL & MAPLE-lab (Westlake Univ) AI Agents | 3D Reconstruction | ICPC Gold 🏅
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Nyla Zhao @NylaZhao_
10 Followers 155 Following Training models and myself to stop overthinking. @UCLA
Yu-Xiang Wang @yuxiangw_cs
4K Followers 420 Following Faculty @hdsiucsd, director of S2ML lab. Visitor @awscloud. Prev @ucsbcs @SCSatCMU. Researcher in #machinelearning, #reinforcementlearning, #differentialprivacy
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Blake Jenkins @jblakej5
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3cH0_Nu1L🇨🇳☭ @3cH0_Nu1L
23 Followers 1K Following A Communist. An avid fan of cyber security and cryptography.
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yiyun deng @yyoraa22
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Ralphael Lundt @MAGAHARDAI
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sourjyadip @bunueldante
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عالى تكه او�... @TekeogluAli
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Shumpei Takezaki @shumpeiMaxwell
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jack doson @jack_doson42843
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Joao Paulo @Joao_P11_
0 Followers 69 Following Studying Machine Learning, Neural Networks, Deep Learning, NLP, Math, Statistics and more.
Gautam @Gautam2086
350 Followers 7K Following full-stack ai engineer | ai agents & ml infra | 1,260+ leetcode (top 9%) | python, typescript, aws | ex- @rfsuny, @ChargePointnet, @blox_xyz
William Wang @WilliamWangNLP
22K Followers 770 Following CEO & Founder, @AlphaDesignAI. We make https://t.co/1LfDYicsF2 I'm also Mellichamp Chair Prof. at UCSB CS. PhD @ CMU SCS.
Bill Yuchen Lin @billyuchenlin
27K Followers 3K Following RL for coding @xAI @SpaceX Affiliate Assistant Prof @UW. Ex: @allen_ai; Google, Meta FAIR.
Percy Liang @percyliang
109K Followers 425 Following professor of computer science @Stanford @stanfordnlp, co-founder of @togethercompute, creator of https://t.co/7R5THVogW2, co-founder of @simile_ai, pianist
Yoav Artzi @yoavartzi
19K Followers 191 Following Research/prof @cs_cornell + @cornell_tech🚡 / https://t.co/9YnWry86x0 / researcher @GoogleDeepMind / building @COLM_conf / ex @arxiv
Jason Wei @_jasonwei
110K Followers 709 Following ai researcher @meta superintelligence labs, past: openai, google 🧠
Xin Eric Wang @xwang_lk
22K Followers 1K Following Professor @ucsantabarbara. Head of Research @SimularAI. Director @ucsbcrml @UCSB_AI. Build the Science of Multimodal AI Agents. AI for Humanity in the long run.
Yann LeCun @ylecun
1.2M Followers 787 Following Professor at NYU & Executive Chairman at AMI Labs. Ex-Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
Yu Su @ysu_nlp
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Wenhu Chen @WenhuChen
26K Followers 797 Following MSL FAIR@Meta. I led PoT, MMMU, MMLU-Pro, MAmmoTH, General-Reasoner, VL-Rethinker, Pixel-Reasoner. I contributed to Gemini-2.5. Prev @GoogleDeepMind.
Graham Neubig @gneubig
45K Followers 782 Following Associate professor @LTIatCMU. Co-founder/chief scientist @OpenHandsDev. I mostly work on modeling language.
Sam Bowman @sleepinyourhat
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Kyunghyun Cho @kchonyc
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Akari Asai @AkariAsai
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Jacob Andreas @jacobandreas
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Sewon Min @sewon__min
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Matthias Niessner @MattNiessner
48K Followers 321 Following Professor for Visual Computing & Artificial Intelligence @TU_Muenchen Co-Founder @synthesiaIO Co-Founder @SpAItial_AI
Xuehai He @XuehaiH
294 Followers 326 Following Member of Technical Staff at Microsoft AI. Agents, LLM, Multimodal
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Sheng Liu @ShengLiu_
555 Followers 191 Following PostDoc @stanford Ph.D. @nyuniversity @NYUDataScience. | 🤖 #DeepLearning x 💊#Healthcare
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24K Followers 136 Following @Stanford professor. Chan-Zuckerberg investigator. Sloan Fellow. Overton Prize. @togethercompute. AI for science + health.
Yuheng Bu @YuhengBu
82 Followers 148 Following Assistant Professor on machine learning and information theory @UCSB Computer Science Department @ucsbcs | Actively Recruiting Ph.D.
Chuhan Li ✈️ICML @_Chuhan_Li
213 Followers 229 Following PhDing @UCSBNLP | Teach Models to Reason in Space
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160 Followers 181 Following Official account of UC Santa Barbara's Electrical and Computer Engineering Department.
Kaiwen Zhou @KaiwenZhou9
506 Followers 385 Following AI safety | AI Agent | Fellow @AnthropicAI @MATSprogram | PhD @ucsc | Previous @Microsoft, @Samsung_RA, @hri_usa.
Kaizhi Zheng @KaizhiZheng
85 Followers 33 Following CSE Ph.D. student at UC, Santa Cruz; Mainly focused on multi-modal research and robot learning
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22 Followers 22 Following The first AI Safety organization @UCSB, dedicated to discussing and mitigating the existential risks of advanced artificial intelligence.
Zhen Zhang @zhenzhangzz
230 Followers 369 Following PhD at @UCSB, undergraduate at @TsinghuaNLP. Agent, RL, Efficiency
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68 Followers 341 Following CS Ph.D. @UCSB_AI, B.Eng. @CUHKSZ. Autonomous Agent, Social NLP, Multimodal. Building humanized machine.
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197 Followers 248 Following PhD @ucsbNLP | Incoming Intern @GoogleAI | Undergrad @LivUni Research: Multimodal & Truthworthy AI & Agent
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40K Followers 2K Following cofounder & chief science officer at @amilabs | faculty @nyu_courant | prev: @googledeepmind @meta (fair) @ucsandiego | ynwa
Xuandong Zhao @xuandongzhao
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Kyle Wong @ewveggies
1K Followers 82 Following Training computer use agents @ Amazon AGI Labs. Prev ML @Apple, @SimularAI, @UCSB_AI
Wenbo Guo @WenboGuo4
1K Followers 597 Following Researcher @Meta; Professor @UCSB; GenAI, Software, and everything in between
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781 Followers 321 Following PhD student @ucsbNLP | Prev: intern @AWS undergrad @pku1898
Gurusha Juneja (✈�... @GurushaJuneja
653 Followers 240 Following PhD @ UCSB | Google DeepMind | Microsoft Research | IIT Delhi
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6K Followers 474 Following Co-founder @ Stealth Startup 🍞| AI researcher @stanford @UCSB | All in ASI 📖 | Building for this universe 🌌 | ex-@googleresearch
Justin Chang @just_in_chang
47 Followers 53 Following
Weixi Feng @weixi_feng
889 Followers 457 Following Research Scientist @GoogleDeepMind, Gemini Omni | Previously NVIDIA, Adobe, UCSB | Opinions are my own.
Yu-Xiang Wang @yuxiangw_cs
4K Followers 420 Following Faculty @hdsiucsd, director of S2ML lab. Visitor @awscloud. Prev @ucsbcs @SCSatCMU. Researcher in #machinelearning, #reinforcementlearning, #differentialprivacy
Kexun Zhang @kexun_zhang
1K Followers 862 Following PhD student at @LTIatCMU. Previously at @ucsbNLP, @ZJU_china. language lover.
Alfonso Amayuelas @AlfonAmayuelas
976 Followers 1K Following Currently at the Stanford Digital Economy Lab @DigEconLab & @idai_institute CS PhD Student at @UCSB_AI @ucsantabarbara AI/NLP 😎🌊🏄🏻♂️
Matt Ho @matt_seb_ho
258 Followers 302 Following PhD student @UCSanDiego working on LLM reasoning and meta-learning. Previously BS @ucsbNLP.
Danny Rose @DannyRose30
47 Followers 67 Following Founding AI Engineer @ Alpha Design AI. Researcher in UCSB NLP Group. Passionate about AI real-world applications for the benefit of humanity.
Yao Qin @YaoQin_UCSB
4K Followers 318 Following Assistant Professor @UCSB; Research Scientist @Google DeepMind; PhD @UCSD
Chong Liu @ChongLiuCS
1K Followers 461 Following Assistant Professor of CS @UAlbany @SUNY. Machine learning, Optimization, Drug discovery, LLM math reasoning.
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106 Followers 363 Following Software Engineer @Google, Computer Science BS/MS @ucsbcs, NLP Research @ucsbnlpTrends for United States
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