Pascale Fung @pascalefung
Chair Professor of ECE, Director of the Centre for AI Research (CAiRE), Hong Kong University of Science & Technology. Fellow of AAAI, ACL, IEEE, ISCA. pascale.home.ece.ust.hk Hong Kong Joined August 2010-
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LLMs have learned human values. Ever wonder how value distributions differ between LLMs? Do ChatGPT and Llama have the same values in English, French, etc.? Are Asian values closer to each other than with Western values? Look for the "value maps". arxiv.org/abs/2404.07900
Do humans need language for #reasoning and #planning? It really depends. We “reasons and plan” a lot of physical and artistic activities without thinking in language (eg dance, swimming, painting, playing an instrument…) but language helps us learn to do them faster.
Do humans need language for #reasoning and #planning? It really depends. We “reasons and plan” a lot of physical and artistic activities without thinking in language (eg dance, swimming, painting, playing an instrument…) but language helps us learn to do them faster.
Do humans need language for #reasoning and #planning? It really depends. We “reasons and plan” a lot of physical and artistic activities without thinking in language (eg dance, swimming, painting, playing an instrument…) but language helps us teach/learn how to do them.
Historic vote for women’s rights nytimes.com/2024/03/04/wor…
Professional cinematographers are looking at new videos from Sora and breathing a sign of relief - there is only so much you can do prompting when you are untrained. Same story with image generators. The beauty and the creativity still need to come from humans prompting.
#OpenAI should just change its name. It’s starting to sound like sarcasm - and humanity is the butt of the joke.
Google, as well as Meta and OpenAI, among others, have large teams of people dedicated to ethics and responsible AI. There is currently no tractable solution to avoid all errors (can any human claim to be ethically perfect?) but the research community will keep trying.
Google, as well as Meta and OpenAI, among others, have large teams of people dedicated to ethics and responsible AI. There is currently no tractable solution to avoid all errors (can any human claim to be ethically perfect?) but the research community will keep trying.
The problem with these images is due to “alignment tax” - when a model has been trained to align with multiple objectives it becomes hard to balance between them. For example here is an apparent conflict between “diversity” and “faithfulness”. It is a hard optimisation problem.
The problem with these images is due to “alignment tax” - when a model has been trained to align with multiple objectives it becomes hard to balance between them. For example here is an apparent conflict between “diversity” and “faithfulness”. It is a hard optimisation problem.
Got attacked by a man for not citing enough women authors in my keynote on hallucination at #aaai2024 #Realaaai showing that alignment tax is not just a problem for GenAI but humans as well. Photo by @FrancescaRossi_
Can LLM reason? Here are benchmarking results on ChatGPT from Feb 2023. Paper here arxiv.org/pdf/2302.04023… #aaai2024 panel
Need a semantic benchmark for Sora and the like. A beautiful and dynamic video of stuff counter to the laws of physics (like that of the shattering glass) is no use. It’s just beautiful hallucination. They must be doing RLHF on Sora now?
Has anyone noticed that #Sora has problems with #perspectives in some of the videos it generated? For example in this one. Also it seems to be trained from video game data??? youtu.be/kHwFMFu9PhA?si…
One of the only podcasts that I have subscribed to. If you want to understand China, give it a listen! sinica.substack.com
Very humbled to be on the same list as Nobel Laureate Tu You You and Kylie Minogue. #forbeswomen #ForbesOver50 #ForbesAsia forbes.com/sites/ranawehb…
There are many greater achievements than our papers in 2023. Google and Meta are the top 2. (OpenAI doesn’t publish much.) US is number 1 with China at number 2.
There are many greater achievements than our papers in 2023. Google and Meta are the top 2. (OpenAI doesn’t publish much.) US is number 1 with China at number 2.
A number of us from #hkust are among the AI top 100 contributors of 2023 by an automatic metric by Bench Council. HKUST and Tsinghua are the top 2 from China. (This is a metric based on publications and citations, not social media or media influence.) benchcouncil.org/evaluation/ai/…
#responsibleAI should be practiced by every research group big or small. We absolutely need to hold people accountable for the accessibility of their datasets and code and ensure reproducibility before we give out any paper award, if not every publication.
Kyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).Genta Winata @gentaiscool
1K Followers 575 Following NLP Researcher @TechAtBloomberg. Was @SFResearch @hkust. Working on multilingual, cross-lingual, speech and dialogue #NLProc. All opinions my own.Yann LeCun @ylecun
712K Followers 719 Following Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.Rosanne Liu @savvyRL
33K Followers 968 Following Cofounded & running @ml_collective. Host of Deep Learning Classics & Trends. Research at Google DeepMind. DEI/DIA Chair of ICLR & NeurIPS. Writing https://t.co/IbycyGfnDRBarbara Plank @barbara_plank
9K Followers 1K Following Prof, Chair for AI & Computational Linguistics @LMU_Muenchen, Head of @MaiNLPlab & co-director @CisLMU Prof at @ITUkbh @NLPnorth @ELLISforEurope scholarSara Hooker @sarahookr
39K Followers 7K Following I lead @CohereForAI. Formerly Research @Google Brain @GoogleDeepmind. ML Efficiency at scale, LLMs, @trustworthy_ml. Changing spaces where breakthroughs happen.Michael Black @Michael_J_Black
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46K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈Justin Cho 조현동 @HJCH0
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104 Followers 179 Following PhD candidate in NLP at the University of Amsterdam. I am supervised by prof. Ekaterina Shutova (UvA) and dr. Dan Garrette (Google Research).Rahul Gupta @rahul1987iit
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82 Followers 2K Following Doctoral Research Fellow in Natural Language Processing. Studies data mining, information retrieval, machine learningSiqi Shen @shensq0814
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3K Followers 694 Following Postdoc @StanfordNLP, incoming assistant professor @Northeastern, PhD @Columbia| Prev Intern @MetaAI |Co-created CICERO | persuasive chatbots + privacy #nlprocbin li @bin_li45436
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2K Followers 1K Following Causality for Machine Learners: https://t.co/n5xASwzYSu Podcast: https://t.co/4FWOtSWRDj Best-Selling Author || Advisor Teaching Causality @ Oxford TLV/WAWJuan Pablo Maya Artea.. @MayaArteagaJP
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476 Followers 2K Following On the job market, actively seeking industry and academic positions. Post-doc @EPFL @ICepfl • Ph.D @HD_NLP • Masters @sic_saar #NLProc #AI #MLMONTREAL.AI @Montreal_AI
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80K Followers 1K Following Interdisciplinary researcher focused on shaping AI towards long-term positive goals. ML & Ethics. Same content in the Sky, Threads, & the Prehistoric ElephantKyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).Yann LeCun @ylecun
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9K Followers 600 Following Janice M. Jenkins Collegiate Professor of Computer Science at U. Michigan, Director @Michigan_AI Lab, Researcher #NLProc, #AI.Barbara Plank @barbara_plank
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1.0M Followers 913 Following Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCsNizar Habash @nyhabash
2K Followers 265 Following Computational Linguist, Computer Science Professor, Artist, Palestinian-American, Son of PalisraIsabelle Augenstein @IAugenstein
11K Followers 1K Following Full Professor @CopeNLU @uni_copenhagen Formerly @ucl_nlp, @SheffieldNLP. Explainable AI, Natural Language Processing, ML.Dr Catherine Breslin @catherinebuk
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Today, we are releasing Mistral Large, our latest model. Mistral Large is vastly superior to Mistral Medium, handles 32k tokens of context, and is natively fluent in English, French, Spanish, German, and Italian. We have also updated Mistral Small on our API to a model that is…
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Today, we are releasing Mistral Large, our latest model. Mistral Large is vastly superior to Mistral Medium, handles 32k tokens of context, and is natively fluent in English, French, Spanish, German, and Italian. We have also updated Mistral Small on our API to a model that is…
Running LLMs on mobile devices? Possible with a few tricks from Meta.
Our MobileLLM proposes 125M/350M pre-trained models with SoTA performance, in particular in chat/API calling. One interesting technique in our work is weight-sharing across Transformer layers, which saves the parameters and reduce the latency during inference. Glad to be…
@pascalefung @Liv_Boeree I guess this is simply part of ambiguity in natural language. "Safety" ranges from long-term safety concerns (which also incorporate ethics), to very technical interpretations (e.g., in formal verification a system is safe if it "never produces a bad configuration").
@pascalefung @ylecun @frossi_t @RealAAAI A different POV:
Dr. @pascalefung’s #keynote talk at #AAAI2024: “Machines Make Up Stuff: Why Do Generative Models Hallucinate?” @RealAAAI #LLMs #GenerativeAI #LargeVisionModels #multimodal #AI #AAAI #SelfSupervised #MachineLearning #transformers #RLHF #MLbias #AIrisks #AIharms #AIethics #AIsafety
My supervisor introducing our latest "subobject-level image tokenization" in her keynote @sam_cahyawijaya @pascalefung
Thanks @_akhaliq for sharing!
Subobject-level Image Tokenization Transformer-based vision models typically tokenize images into fixed-size square patches as input units, which lacks the adaptability to image content and overlooks the inherent pixel grouping structure. Inspired by the subword tokenization…
@ylecun @partha_mitra Neuroscience has been moving away from function attribution to parts of the brain.We just cant image quick and precisely enough to know: a)idea is forming b)strictly prefrontal ? (We cant even test this) c)is the generation in other brain areas that light up,even though weakly?
@ylecun @partha_mitra I'm a neuroscientist that focuses on the prefrontal cortex and I'd also say that it's pretty unclear what an "idea" would look like in the brain, much less the PFC
@GirouxJeanseb FAIR has 7 seven locations: 3 large ones in Paris, NYC, and Menlo Park, and 4 smaller ones in Seattle, Montreal, London, and Tel Aviv. Joëlle is in Montreal, and several FAIR-Montreal folks are affiliated with Mila.
Massive congrats to @karstanczak for passing her PhD defence with flying colours! 🎊🥂🥳 Very proud of you 🤗🥹 Thanks to @SergeBelongie @pascalefung @licwu for serving on the committee. Karolina’s thesis on multilingual gender bias probing: di.ku.dk/english/resear… #NLProc
Greta & Margot, While it can sting to win the box office but not take home the gold, your millions of fans love you. You’re both so much more than Kenough. #HillaryBarbie
My best use of 45 minutes this week was this Future of AI panel @Davos with many of the best hands-on visionaries in the field including @ylecun @kaifulee @AndrewYNg @DaphneKoller @aidangomez Clear descriptions of the many possible challenges and opportunities in the next few…
So much fucking respect to @ylecun for being the one big-tech blue chip name to step up & champion open research, open source & the startup community. Unflinchingly. For remembering what made this moment possible in the first place & putting his name on the line to protect it ❤️
With @EmmanuelMacron in Davos.
#WEF | @EmmanuelMacron will travel to Switzerland for the #Davos Forum with Fanny Moizant and @ylecun, both leading figures in the “#MakeItIconic. Choose France” campaign. 🇫🇷 @wef
Meta has always tried to do the Right Thing. Meta has always practiced open research in AI. Meta has been promoting open source AI platforms. After numerous discussions over the last year (sometimes contentious) a consensus is emerging that open source AI platforms are…
@ylecun @wef @AndrewYNg @DaphneKoller @aidangomez My respect for Meta went a lot higher especially after watching live @ylecun in Davos at this panel chaired by Max Tegmark and fabulous panelists including Stuart Russel
Does anyone else find it kind of perverse that so much low-talent software crap got branded as "tech" that actual technology had to get rebranded as "deep tech"?
The EU AI Act negotiations ended. One contentious issue was the regulation of foundation models, particularly open source ones. Kudos to the French, German, and Italian governments for not giving up on open source models. Juicy part: "The legislation ultimately included…