Wenhu Chen @WenhuChen
AI researcher @UWaterloo @GoogleAI @VectorInst. Interested in natural language processing, diffusion models. I direct TIGER-Lab at UWaterloo. wenhuchen.github.io Canada Joined May 2016-
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Out of curiosity, do AI PhDs normally work (lead) on several projects simultaneously? I have never managed to work on more than one project during my PhD and I tried to convince my students not to do so. The paradigm might have already changed, so I am asking here.
Great results on extending Llama-3 to long context reasoning!
Great results on extending Llama-3 to long context reasoning!
What's the consequence of publishing a model from Llama3 without putting "meta-Llama-3" in the front? I have already seen a few people doing it.
Spent some time evaluating the reasoning ability of LLaMA3-base. It seems that it's slightly better than Gemma-base while significantly better than Mistral-base-v0.2. Pretty good results!
Glad to see that our CodeEditorBench is being used by CodeQwen.
Glad to see that our CodeEditorBench is being used by CodeQwen.
Love Wirtz!
[1/n] Happy to share our new work "MuPT: A Generative Symbolic Music Pretrained Transformer", encompassing a series of music generation models ranging from 190 million to 4.2 billion parameters, all based on the ABC Notation. According to human preference evaluations, our models…
Check out our recent paper on Music Pretraining with Transformers. This is a teamwork by lots of awesome collaborators at different institutions.
Check out our recent paper on Music Pretraining with Transformers. This is a teamwork by lots of awesome collaborators at different institutions. https://t.co/QusZx1456R
Anyone knows what's the performance of the recent best LLM's performance NaturalQuestions, TriviaQA, HotpotQA (close-book and open-book)? I would appreciate it.
Now all the slides and recorded videos are uploaded to the course website now: cs.uwaterloo.ca/~wenhuche/teac… Kudos to all the great students taking the course!
Now all the slides and recorded videos are uploaded to the course website now: cs.uwaterloo.ca/~wenhuche/teac… Kudos to all the great students taking the course!
🎥Introducing 𝐀𝐧𝐲𝐕𝟐𝐕: A training-free framework for video editing ✂️Simplifies Video Editing: 1️⃣Use any off-the-shelf image editing model for 1st frame 2️⃣Utilize an Image-2-Vid model for DDIM inversion & feature injection 🤯 Style transfer, Id manipulation now in Video!👇
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William Wang @WilliamWangNLP
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Mengzhou Xia @xiamengzhou
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500 Followers 595 Following Talk is cheap. Show me the code. Software Engineer working on Search Relevance at Bloomberg. Opinions are my own.
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Jean-Jacques St. Lero.. @jjstleroux
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saf.ai - Data that ca.. @_saf_ai_
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Jim Fan @DrJimFan
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William Wang @WilliamWangNLP
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Akari Asai @AkariAsai
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Lucas Beyer (bl16) @giffmana
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16K Followers 801 Following Research Scientist and Senior Manager in Meta AI (FAIR). AI-guided Optimization and Representation Learning. Novelist in spare time. PhD in @CMU_Robotics.
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Victor Sanh @SanhEstPasMoi
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Yixuan Su @yixuan_su
1K Followers 213 Following Researcher @cohere. Ph.D. at @CambridgeLTL. Ex @Amazon, @Apple,Tencent, @MSFTResearch. Proud creator of Contrastive Search and PandaGPT. (He/Him)
John Yang @jyangballin
2K Followers 447 Following CS/NLP MS student @princeton_nlp Previously @Berkeley_EECS
XuDong Wang @XDWang101
418 Followers 590 Following PhD Candidate, Berkeley AI Research Lab @berkeley_ai @UCBerkeley | ex-intern at FAIR Labs @MetaAI and GenAI team @MetaAI
Jean de Nyandwi @Jeande_d
38K Followers 772 Following Deep Learning, Vision 🤍 Language, Multimodal LLMs • AI Education • CMU Research blog: https://t.co/1BEFLZAqe7 ML Pack: https://t.co/7PkTyDvuri
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1K Followers 501 Following Assistant Professor @ucsc, Postdoctoral Researcher @Stanford @StanfordAIMI, Medical Image Analysis, Machine Learning / former Ph.D. @JohnsHopkins M.S. @UCLA
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5K Followers 520 Following Interactive & grounded AI, RL, NLP. Assistant Prof @UCSanDiego. Research Scientist @DbrxMosaicAI. Prev: @allen_ai, @GeorgiaTech
Luca Soldaini 🎀 @soldni
6K Followers 1K Following I like tokens! Lead for OLMo data team at @allen_ai (makin Dolma 🍇), open source science fan, @QueerInAI organizer 🤖☕️🍕they/them
Fei Sha @feishaAI
2K Followers 311 Following Researcher and engineers in AI and ML; now at Google Research, formerly Professor at USC
Hanna Hajishirzi @HannaHajishirzi
6K Followers 328 Following Associate professor at @uw_cse; senior director at @allen_ai co-leading @allenNLP; AI/NLP researcher at @uw_nlp
Beidi Chen @BeidiChen
6K Followers 351 Following Asst. Prof @CarnegieMellon, Visiting Researcher @Meta, Postdoc @Stanford, Ph.D. @RiceUniversity, Large-Scale ML, a fan of Dota2.
Dreaming Tulpa 🥓�.. @dreamingtulpa
34K Followers 1K Following Coder and AI whisperer | 🇨🇭 | @aiia_dao Keeping up to date with Generative AI on https://t.co/JjX7INV1K5 Building https://t.co/0tHHSgyHnn More here 👉 https://t.co/8ES5KiPMND
Suchin Gururangan @ssgrn
4K Followers 249 Following he/him Research scientist 🦙 Llama team, @meta GenAI PhD @uwcse + @uwnlp
Peter Chen @peterxichen
3K Followers 1K Following Covariant CEO and Co-Founder. Previously @OpenAI, @UCBerkeley PhD.
Harrison Chase @hwchase17
53K Followers 410 Following @LangChainAI, previously @robusthq @kensho MLOps ∪ Generative AI ∪ sports analytics
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3K Followers 2K Following Sr Research Scientist @SFResearch. PhD @Stanford. Researcher on foundation models, RL/games, deep learning, uncertainty quantification, and their theory.
Pradeep Dasigi @pdasigi
1K Followers 460 Following Senior Research Scientist at Allen Institute for AI (AI2)
Mark Dredze @mdredze
4K Followers 786 Following John C Malone Professor at @JohnsHopkins @JHUCompSci @jhuclsp @jhumceh; Part time @techatbloomberg (tweets my own) Mastodon @[email protected]
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2K Followers 1K Following Research Scientist @GoogleDeepMind. AI Research with Humans in Mind.
Mengdi Wang @MengdiWang10
1K Followers 265 Following Princeton professor in AIML, optimization and data science. Program Chair @ICLR2023. Formerly @MIT @GoogleDeepmind @Tsinghua
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31K Followers 166 Following Head of Preparedness at OpenAI and MIT faculty (on leave). Working on making AI more reliable and safe, as well as on AI having a positive impact on society.
Yann Dubois @yanndubs
4K Followers 1K Following PhD student @stanfordAILab | Prev: AI resident @metaai, @vectorinst, @CambridgeMLG
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992 Followers 0 Following new home of @fal_ai_data. generative media platform for developers
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431 Followers 239 Following Research Scientist @ Apple. Ex-Research Intern @ MSR AI. Ph.D. @ UW. Be Borderless.
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VΛNYΛ @veryVANYA
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Jack Rae @drjwrae
9K Followers 353 Following Principal Scientist @ Google DeepMind Work on Gemini 💎♊ Compression is all you need LLMs (e.g. Gopher, Chinchilla, Gemini) 💼 Past: OpenAI, Quora
Guanya Shi @GuanyaShi
3K Followers 913 Following Assistant Professor @CMU_Robotics @SCSatCMU. Lead the Learning and Control for Agile Robotics Lab @LeCARLab. Ph.D. from @Caltech. Postdoc @uwcse. He/Him/His.
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1K Followers 253 Following
Jiatao Gu @thoma_gu
3K Followers 2K Following Machine Learning Researcher at @Apple ML Research (MLR) based in NYC | ex-FAIRer | PhD from HKU | Research on Generative AI for multimodalities. また日本語もできます。
Marc Andreessen 🇺�.. @pmarca
1.4M Followers 24K Following Techno-optimist. E/acc. Technology brother. Move Fast and Make Things. p(Doom) = 0; p(“1984”) = not 0.
Batuhan Taskaya (e/si.. @isidentical
4K Followers 309 Following head of eng/silicon at @fal (fal ai labs). also a python core developer / @thePSF fellow. building the most efficient inference engine for diffusion models.🎉 RepoQA evaluates the understanding ability of LLM for code repositories through basic retrieval tasks, which highly aligns with my initial motivation of "needle in the code", but RepoQA is more comprehensive and solid. I'm also happy to see that CodeQwen1.5 has performed well!…
Introducing RepoQA for evaluating LLMs’ repository understanding! 🌐 Leaderboard of 25+ models: evalplus.github.io/repoqa.html ⚙️ GitHub: github.com/evalplus/repoqa 🎨 Supporting 5 programming languages (more coming soon) 🚀 Evals openai/vllm/anthropic/HF/gemini models in one command! 🧵
@RishiBommasani There are definitely exceptions but I think for most people, multiple projects don't make sense, *especially* in the first year, which is where I see most people make the mistake of spreading themselves too thin.
@ZhongRuiqi @WenhuChen How about when in the ideation stage - what's the time split when there's a current project to attend to and mostly reading/thinking to be done for others?
@rajammanabrolu (Tad hyperbolic; context theurbanist.org/2024/03/05/sea… )
lol. lmao even. 🤡
This morning the Department of Homeland Security announced the establishment of the Artificial Intelligence Safety and Security Board. The 22 inaugural members include Sam Altman, Dario Amodei, Jensen Huang, Satya Nadella, Sundar Pichai and many others.
@WenhuChen If leading a project means such project will make little progress if the PhD is not working on it, then leading multiple projects at the same time is just going to increase the wall time for all projects — then I don’t see a point doing that
@WenhuChen I find it extremely hard to spin up two projects at the same time; but I find it useful to work on multiple things where I intensely work on one while waiting to experiments/data to be collected from other projects.
Interesting slide from @nlpnoah's talk today summarizing what we know about various LLMs. Lots of question marks...
This is a trick question. How many projects you do is not as important as which projects you do. At any given point, you do not need to be leading even a single project. By the end of the PhD, ideally you would have lead at least one project.
Out of curiosity, do AI PhDs normally work (lead) on several projects simultaneously? I have never managed to work on more than one project during my PhD and I tried to convince my students not to do so. The paradigm might have already changed, so I am asking here.
@OfirPress That's a good heuristic for most students, but in my experience there is a minority of students who do well with multiple projects.
@OfirPress I would disagree, I definitely think there are students who lead multiple projects effectively. Focus is good, but focus doesnt imply efficacy. Diversified portfolios have their own value.
@WenhuChen Maybe lead one project while assisting the others will be a good choice?
@WenhuChen For core research work (e.g. running experiments or intense thinking), I find it hard to juggle projects. But I do frequently switch between projects, meaning that when conference deadlines have approached I have often had multiple submissions to manage simultaneously.
@WenhuChen I encourage my students to work on one main project and on potential resubmissions. A second (new) project can sometimes be ok, but I encourage them to focus. I myself worked on too many side projects during my PhD...
@sarahookr @cohere @cohereForAI Congratulations on all the impact Sara!
Great to have Noah Smith @nlpnoah talk at Georgia Tech today about open-source LLMs trained with open-source pre-training data (OLMo model by @allen_ai) for the Distinguished Speaker Series. photo credit: Nathan Deen @ICatGT host: @kartik_goyal_
Our new prompting technique achieves an 11% improvement.
@yuntiandeng @_akhaliq Fun discovery: when you leave the title and abstract empty and set Authors to be "Yann LeCun" (no offense; just to see if there's any bias), the score is as high as 0.77.. I have not found other single authors with a higher score.. Myself is 0.02😅
@yuntiandeng @_akhaliq You know what this means right? Make👏the👏AK👏bot👏
@WenhuChen Should have made a “see results” option. Data is skewed due to the poor design of this tweet
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