Xin Eric Wang @xwang_lk
Multimodal and Embodied AI Researcher / Professor @UCSC. Director of https://t.co/Y4swOBag21. AI for Humanity in the long run. he/him eric-xw.github.io Santa Cruz, CA Joined February 2012-
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I guess Transformer will always get the most votes before it is taken down. But I believe it will be.
I guess Transformer will always get the most votes before it is taken down. But I believe it will be.
From UCSC GenAI (@cihangxie): a high-quality instruction tuning dataset for image editing. 🔥
From UCSC GenAI (@cihangxie): a high-quality instruction tuning dataset for image editing. 🔥
SWE-bench is probably contaminated for frontier models (gpt-4/claude-3-opus). Given only the name of a pull request in the dataset, Claude-3-opus already knows the correct function to modify.
Talked to a few international students recently. During COVID, many students applied to Canada schools because it was harder to obtain US visas. But now things changed and Canada visas seem to be much harder to get. Same for conference travels.
This quarter, we are doing weekly lunch meetings and let students to decide the food. Every time going to the meeting is like opening a surprise box-no idea what to eat. It seems the students are happier too. Truly, free food is the essence of research.
🔄𝐒𝐰𝐚𝐩𝐀𝐧𝐲𝐭𝐡𝐢𝐧𝐠: A novel framework for arbitrary object swapping in personalized visual editing! 🖼️Key advantages: 🌟Precise control of arbitrary objects and parts 🌟Faithful preservation of context pixels 🌟Better adaptation of personalized concepts to the image
Wanna swap Any object in an image into your personalized object❓❔❓ Try SwapAnything! SwapAnything enables arbitrary object swapping in personalized visual editing, including single-obj, partial-obj, multi-obj, cross-domain, text-based swapping, and object insertion with the…
Wanna swap Any object in an image into your personalized object❓❔❓ Try SwapAnything! SwapAnything enables arbitrary object swapping in personalized visual editing, including single-obj, partial-obj, multi-obj, cross-domain, text-based swapping, and object insertion with the… https://t.co/MUqDNb1gmJ
Love the vibrancy of post-COVID Bay Area life! Chatted with a company director and the next day, we met in person for deeper discussions. Right after, a spontaneous call to a startup co-founder turned into a face-to-face meetup within 20 mins. The energy here is unmatched! 🚀
Makes me look more ripped than Jürgen 😄
William Wang @WilliamWangNLP
14K Followers 715 Following UCSB NLP Lab + ML Center. https://t.co/6TOnqbk6YT https://t.co/KJYhnav3Et Mellichamp Chair Prof. at UCSB CS. PhD @ CMU SCS. Areas: #NLProc, Machine Learning, AI.Jia-Bin Huang @jbhuang0604
51K Followers 285 Following Associate Professor @umdcs; Part-time Research Scientist @Meta. I like pixels.Wenhu Chen @WenhuChen
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6K Followers 2K Following Research @allen_ai. I evaluate (multi-modal) LLMs, build agents, and study the science of LLMs. Previously: @GoogleAI & @MetaAI FAIR @nlp_uscAkari Asai @AkariAsai
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40 Followers 424 Following undergrad at PU. I like movies, minecraft, music, code and everything stitch. GSOC,OSPP with JuliaTimber_Zhang @ZXucheng
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732 Followers 4K Following Chinese persecuted Dissident𓀏/ CryptoTrader since 2018💹 / SoftwareEngineer👨💻 / Bisexual🏳️🌈William Wang @WilliamWangNLP
14K Followers 715 Following UCSB NLP Lab + ML Center. https://t.co/6TOnqbk6YT https://t.co/KJYhnav3Et Mellichamp Chair Prof. at UCSB CS. PhD @ CMU SCS. Areas: #NLProc, Machine Learning, AI.Jia-Bin Huang @jbhuang0604
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60K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).Wenhu Chen @WenhuChen
11K Followers 515 Following AI researcher @UWaterloo @GoogleAI @VectorInst. Interested in natural language processing, diffusion models. I direct TIGER-Lab at UWaterloo.Bill Yuchen Lin 🤖 @billyuchenlin
6K Followers 2K Following Research @allen_ai. I evaluate (multi-modal) LLMs, build agents, and study the science of LLMs. Previously: @GoogleAI & @MetaAI FAIR @nlp_uscJacob Andreas @jacobandreas
13K Followers 955 Following Teaching computers to read. Assoc. prof @MITEECS / @MIT_CSAIL (he/him). https://t.co/5kCnXHjtlY https://t.co/2A3qF5vdJwGautam Kamath @thegautamkamath
44K Followers 501 Following Assistant Prof of CS @UWaterloo, Faculty @VectorInst, Canada @CIFAR_News AI Chair. Co-EiC @TmlrOrg. I lead @TheSalonML. Privacy, robustness, machine learning.Akari Asai @AkariAsai
11K Followers 650 Following Ph.D. student @uwcse & @uwnlp. NLP. IBM Ph.D. fellow (2022-2023). Meta student researcher (2023-) . ☕️ 🐕 🏃♀️🧗♀️🍳Yu Su @ysu_nlp
6K Followers 857 Following Dist. Assist. Prof.@OhioState, Director @osunlp, 20% Researcher@Microsoft. I like to think about intelligence, artificial or biologicalLucas Beyer (bl16) @giffmana
56K Followers 443 Following Researcher (Google DeepMind/Brain in Zürich, ex-RWTH Aachen), Gamer, Hacker, Belgian. Mostly gave up trying mastodon as [email protected]Prof. Anima Anandkuma.. @AnimaAnandkumar
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35K Followers 3K Following AI alignment + LLMs at NYU & Anthropic. Views not employers'. No relation to @s8mb. I think you should join @givingwhatwecan.Reka @RekaAILabs
10K Followers 13 Following An AI research and product company 🌟. We are a team of scientists and engineers building state-of-the-art multimodal language models 🪄.Fuxin Li @fuxinli2
635 Followers 257 Following Associate Professor in AI, Deep Learning and Computer Vision, Oregon State UniversityGradio @Gradio
34K Followers 12 Following Build and share machine learning demos in 3 lines of Python. Part of the @Huggingface family 🤗Jan Kautz @jankautz
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188K Followers 478 Following Building with LLMs @dair_ai • Prev: Meta AI, Galactica LLM, PapersWithCode, Elastic, PhD • Creator of the Prompting Guide (~4M learners)hang @chuhang1122
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1K Followers 31 Following Supporting research that will improve the cooperative intelligence of advanced AI for the benefit of all.Chan Zuckerberg Initi.. @czi
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661 Followers 827 Following Assistant Prof Boston University, ECE interested ML in healthcare in general for real world applicationTianqi Chen @tqchenml
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2K Followers 425 Following Principal Researcher @MSFTResearch. Working on intersection of AI, ML, Systems. PhD @UofIllinois. Intern @Meta. BS @Tsinghua_Uni. Creator of #AutoGen & #FLAMLJesse Lyu @jessechenglyu
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122K Followers 19 Following Makers of Devin, the first AI software engineer. We are an applied AI lab focused on reasoning, and code is just the beginning. Join us: https://t.co/tpfZwEwGiqMinchen Li @minchen_li_
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1K Followers 911 Following Interdisciplinary researcher interested in modality, discourse, and dialogue. Assistant Professor of CS @Khoury College, Northeastern UniversityWei Gao @gaweitt
35 Followers 95 Following Associate Professor at University of Pittsburgh @PittECE. Doing research on on-device AI, smart health and mobile systemsBen @2513_coombs
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710K Followers 2K Following Obsessed with covering transformative technology.Song Mei @Song__Mei
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187K Followers 11 Following A general purpose, bi-pedal, humanoid robot capable of performing tasks that are unsafe, repetitive or boring.Vincent Sitzmann @vincesitzmann
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430 Followers 765 Following CS PhD student @ucsbNLP teaching machines to think like humans and humans to think like machines. Prev. @UCSBPhysics Guitar/Bouzouki. Cyprus/CA 🧠🤖🎸🌊Loris D'Antoni @lorisdanto
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678 Followers 1K Following Asst Prof in HCI at University of Maryland CS @umdcs Lab: https://t.co/75c4T8m6OkSuccessfully defended my thesis today. It's been an incredible journey, filled with both fun and challenges beyond what I could have imagined as an undergraduate 4 years ago. Haven't decided on my next step yet, but I assume there will be plenty of fun and much to learn there:)
Honored to receive the Outstanding Paper Award for Autothrottle at NSDI '24! Congratulations to everyone involved in this project: our stellar students, Zibo Wang and Pinghe Li, as well as my longtime collaborator Mike Liang. We are elated by this recognition and can't wait to…
Excellent book! Ordered one and will try to get signatures from three authors in person ;)
Our computer vision textbook is released! Foundations of Computer Vision with Antonio Torralba and Bill Freeman mitpress.mit.edu/9780262048972/… It’s been in the works for >10 years. Covers everything from linear filters and camera optics to diffusion models and radiance fields. 1/4
@xwang_lk @srchvrs @sir_deenicus google-research.github.io/seanet/audiopa… AudioPalm is text-audio decoder-only
@xwang_lk Hey Xin long time no see (well since UCSB) ! Anyway maybe our model shows the reply might be "yes" ? 😄x.com/berenmillidge/…
HQ-Edit A High-Quality Dataset for Instruction-based Image Editing This study introduces HQ-Edit, a high-quality instruction-based image editing dataset with around 200,000 edits. Unlike prior approaches relying on attribute guidance or human feedback on building datasets,
@xwang_lk @sir_deenicus makes sense: thank you for clarifying.
🔥 Introducing HQ-Edit, a dataset with high-res images & detailed and aligned image editing instructions. Our fine-tuned InstructPix2Pix delivers superior editing performance. Dataset: huggingface.co/datasets/UCSC-… Demo: huggingface.co/spaces/LAOS-Y/… Project: thefllood.github.io/HQEdit_web
HQ-Edit A High-Quality Dataset for Instruction-based Image Editing This study introduces HQ-Edit, a high-quality instruction-based image editing dataset with around 200,000 edits. Unlike prior approaches relying on attribute guidance or human feedback on building datasets,
SWE-bench is probably contaminated for frontier models (gpt-4/claude-3-opus). Given only the name of a pull request in the dataset, Claude-3-opus already knows the correct function to modify.
@xwang_lk “yyds” makes an accurate implication of RWKV audiences
I’m honored to receive the 2023 Pierre-Simon Laplace Award from the IEEE Signal Processing Society today in Seoul, Korea! 🌟 Deeply grateful to my students, collaborators, colleagues, and mentors. Your support make this a shared honor. #IEEE #SignalProcessing #ICASSP2024
@xwang_lk How about Megalodon?😆 arxiv.org/abs/2404.08801
Announcing Mira: A glimpse into the world of Sora, providing insights through open-sourced resources including MiraData (training samples), MiraDiT (the model), and code, all aimed at fostering collaboration and accelerating innovation in this promising field. 🩷🩷 Project Page:…
🎉We are exploring the #Mira project~ - Built a long video dataset #MiraData with structured captions. - Trained #MiraDiT to explore the consistency in long video generation. Hope it will be a supplement to existing text-to-video methods. Project Page: mira-space.github.io
@jbhuang0604 But the researchers and engineers who made all these models are trained from academia. It is an ecosystem, each module has its role.
Along with Core, we have published a technical report detailing the training, architecture, data, and evaluation for the Reka models. publications.reka.ai/reka-core-tech…
🎉We are exploring the #Mira project~ - Built a long video dataset #MiraData with structured captions. - Trained #MiraDiT to explore the consistency in long video generation. Hope it will be a supplement to existing text-to-video methods. Project Page: mira-space.github.io