Matches in Nanopublications for { ?s <http://www.w3.org/2000/01/rdf-schema#comment> ?o ?g. }
- assertion comment " I often wonder if what I do helps the world, enough? I remember @harari_yuval & @dataspade describing agriculture as a crucial field for social good. This group bridges agricultural information gaps, with NLP! https://arxiv.org/abs/2407.04721 @pratinavseth @adi_kasliwal @labnol https://twitter.com/LChoshen/status/1810675837332869409/photo/1 " assertion.
- assertion comment " LoRAs have a lot in similar. So one can compress (+-SVD with unique s) them together, serve efficiently or understand their shared spaces https://twitter.com/RickardGabriels/status/1810368300045709398 " assertion.
- assertion comment " Want to study different LoRAs? Merging? Task dependence? https://twitter.com/RickardGabriels/status/1810368226154684598 " assertion.
- assertion comment " How do datasets size affect model weights? Mainly norm growth but also eigen values Important resource: 2k image loras (for text loras there's https://huggingface.co/Lots-of-LoRAs ) https://twitter.com/MohammadSalaama/status/1806619254659182894 " assertion.
- assertion comment " To reduce evaluation contamination @XuanmingZhang07 @Zhou_Yu_AI @columbianlp et al. convert dataset examples into templates(Fig.) https://arxiv.org/abs/2406.17681 EWOK datasets are built to have this trait https://x.com/neuranna/status/1791465842632454184 Interesting trend will it last? solve contamination? https://twitter.com/LChoshen/status/1806396147281637645/photo/1 @XuanmingZhang07 @Zhou_Yu_AI @columbianlp If you ask me, a nice step, but it only solves the worst contamination (clear training on the test set). Not on just training on similar formats, synthetic data etc. to improve. So it is a good approach that should last, but we need more. (@deliprao you had similar claim right?) " assertion.
- assertion comment " LLM representations align with brain FMRIs, but not always to the same extent. When do they match: https://twitter.com/bkhmsi/status/1805595993284415913 " assertion.
- assertion comment " Makes one thinks https://twitter.com/OwainEvans_UK/status/1804182787492319437 " assertion.
- assertion comment " Evolver, model merging in a genetic algorithm Improves on current merging techniques (my beloved TIES 🫣 ) Train diverse models Merge regularly or take diff between two models Update some parameters Keep if good Repeat https://arxiv.org/abs/2406.12208 @jingli9111 @banting_liu @576gsk https://twitter.com/LChoshen/status/1803410440535326786/photo/1 Merging is aimed at taking many models and getting one that generalizes better, there are various methods for it, read more e.g. on TIES https://x.com/prateeky2806/status/1665759148380758022 Genetic algorithms evolve models, in steps: Create mutations (here new m = m_old + a(m_1-m_2)) m are models a some constant Crossover, take some of the mutation and apply it, for each parameter randomly keep m_old or update to m_new Survive, keep only the best performing on val By sometimes merging and sometimes evolving (and dev sets) they improve over all current methods https://twitter.com/LChoshen/status/1803410445635653960/photo/1 In some sense, this can be seen as a better search in the region between the merged models, which we know is not equally good but all better than the edges https://x.com/LChoshen/status/1729488495515713672 https://twitter.com/LChoshen/status/1803410447246250483/photo/1 " assertion.
- assertion comment " ABOLISH THE VALUE FUNCTION https://twitter.com/micahgallen/status/1832019686101291361 " assertion.
- assertion comment " Sincerely expecting to either read or derive myself over the next several years that fold-change detection with a normalizing feedback input amounts to prediction-error (grad-of-log-prob) signaling. https://twitter.com/drmichaellevin/status/1832449357095829681 "Grad of log of SOMETHING" has already been shown in previous work, hence my expectation that it's not gonna take long to show how normalization can get done. " assertion.
- assertion comment " 👀👀👀👀👀👀👀👀👀 https://twitter.com/du_yilun/status/1757072068133220728 " assertion.
- assertion comment " So is this actually experimental evidence that inter-areal communication uses an unweighted, linear read-out of the spike trains on the incoming synapses? https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007692 https://twitter.com/ShahabBakht/status/1827165318885572819 " assertion.
- assertion comment " TL;DR: https://twitter.com/EliSennesh/status/1823552658319552917/photo/1 https://twitter.com/EliSennesh/status/1823164927248318565 " assertion.
- assertion comment "Serialized representation size benchmark for grouped streams, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Grouped streaming deserialization (parsing) throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Grouped streaming deserialization (parsing) throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Grouped streaming deserialization (parsing) throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Grouped streaming serialization throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Grouped streaming serialization throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Grouped streaming serialization throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Flat streaming serialization throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Flat streaming serialization throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Flat streaming serialization throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Flat streaming deserialization (parsing) throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Flat streaming deserialization (parsing) throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment "Flat streaming deserialization (parsing) throughput benchmark, comparing Jelly to W3C serializations implemented in Apache Jena, as well as Jena's own binary formats. The benchmark was run on a modern x86-64 workstation." assertion.
- assertion comment " Wrote a short and light blog post about how today's AI models, specifically LLMs, align with the popular AI narrative created by last century SciFi literature. https://medium.com/@shahar.r.oriel/a-plot-twist-in-the-ai-narrative-757dbc141543 #ArtificialIntelligence #LLMs #GPT4 #scifi " assertion.
- assertion comment " Recording of @UnfoldResearch lightning talk from @aimos_inc 2022 conference of the Association for Interdisciplinary Metaresearch & Open Science https://www.youtube.com/watch?v=gjFsx7zZU2Y&list=PLx5ctDpyYVLFT2jDVQDp7v1TURdcrfgB8&index=5&t=1103s " assertion.
- assertion comment " Unfold Research browser extension is now available for download! Go to https://unfoldresearch.com/ and start using it today, completely free! Here's how it can help you do your research better and discover new things 🧵 Whether you're on a web page or reading a PDF of a paper, Unfold can be used to access and share any kind of research - reviews, datasets, Q&A, notes, videos,... https://twitter.com/UnfoldResearch/status/1560995114536910850/photo/1 Simply go to the page where your paper or preprint is located, and link those extra materials as micropublications. Now, anyone who visits that page will be able to find them and access them! It's right there, a single glimpse away! 😍 https://twitter.com/UnfoldResearch/status/1560995150331002883/video/1 📄 All the things that usually don't end up in the paper, such as intermediate datasets, interactive visualizations and demos, author notes, videos, and slides... now have a home, and can be permanently linked directly to your paper and easily discovered by others. Have you ever wondered if there is some Twitter thread about a certain paper that summarises the paper in just a few nice, short sentences? Or if there is a Github repo with software implementation of the methods from the paper? Now it's so easy to find out! Or to share your own! https://twitter.com/UnfoldResearch/status/1560995180429320192/video/1 📢 You can also share all the notes, slides and videos from a conference, in a single place that everybody knows about - right on the web pages of the conference itself! You don't have to wander and frantically gather all the materials anymore. https://twitter.com/UnfoldResearch/status/1560995220849922048/video/1 📝 You have the full power of Markdown and KaTeX to format your text and communicate things clearly. https://twitter.com/UnfoldResearch/status/1560995243528421376/video/1 📂 You can upload files and manage them within folders. This is an excellent way to share datasets or image and video files, and connect them directly to the paper, in full detail and bigger resolution. https://twitter.com/UnfoldResearch/status/1560995288529215489/video/1 🔔 Stay up-to-date on new research by following micropubs and you'll get an in-app notification for any new reply that's submitted. You can also follow other people's accounts as well and see what are they posting! https://twitter.com/UnfoldResearch/status/1560995294862622728/photo/1 👍/👎 All publications can be upvoted or downvoted - this will help your peers know what deserves more of their attention and could be useful. Upvotes that your contributions collect over time also help it rank better and be more prominently displayed. https://twitter.com/UnfoldResearch/status/1560995330249920513/video/1 📑 For sharing your experience and opinions in more detail, you can leave reviews; and link to your experiments and results. These conversations can continue as others are also able to reply, ask additional questions and review your review etc. Science is a collective effort! https://twitter.com/UnfoldResearch/status/1560995366492848129/video/1 ⭐️ Important things can be saved to your Library, so that you can return to them later. You can also bookmark interesting profiles as well! https://twitter.com/UnfoldResearch/status/1560995390006206464/video/1 We hope that these new tools will help you overcome some of the obstacles that are present when we all try to put Open Science to practice. These new capabilities provide a way to contribute and discover related things anywhere and at any time, keep research close together and linked, always within the same community of people so you don't have to reset your progress every time you start with new interests. https://twitter.com/UnfoldResearch/status/1560995397220372480/photo/1 You can now overcome limitations regarding collaboration between different paper servers, different communities for different research disciplines, and find content that search engines cannot easily point you to. You are free to choose where the content is coming from, for we recognize that many other platforms provide amazing solutions to the problems that they are solving specifically, and we want to bring all of that work closely together and make it easier to discover. We aim to provide a tool that you can use without even thinking about it, and whenever there is something that might be useful, we'll let you know - your own research companion! We couldn't be more excited about the things that we have planned, that will continue to enrich your experience while doing research and keep making it easier and easier, so, stay tuned! 🤗 To get started, visit https://unfoldresearch.com/ and let us know what you think! Happy unfolding, scholars! 🎓 " assertion.
- assertion comment " Unfold Research browser extension is now available for download! Go to https://unfoldresearch.com/ and start using it today, completely free! Here's how it can help you do your research better and discover new things 🧵 Whether you're on a web page or reading a PDF of a paper, Unfold can be used to access and share any kind of research - reviews, datasets, Q&A, notes, videos,... https://twitter.com/UnfoldResearch/status/1560995114536910850/photo/1 Simply go to the page where your paper or preprint is located, and link those extra materials as micropublications. Now, anyone who visits that page will be able to find them and access them! It's right there, a single glimpse away! 😍 https://twitter.com/UnfoldResearch/status/1560995150331002883/video/1 📄 All the things that usually don't end up in the paper, such as intermediate datasets, interactive visualizations and demos, author notes, videos, and slides... now have a home, and can be permanently linked directly to your paper and easily discovered by others. Have you ever wondered if there is some Twitter thread about a certain paper that summarises the paper in just a few nice, short sentences? Or if there is a Github repo with software implementation of the methods from the paper? Now it's so easy to find out! Or to share your own! https://twitter.com/UnfoldResearch/status/1560995180429320192/video/1 📢 You can also share all the notes, slides and videos from a conference, in a single place that everybody knows about - right on the web pages of the conference itself! You don't have to wander and frantically gather all the materials anymore. https://twitter.com/UnfoldResearch/status/1560995220849922048/video/1 📝 You have the full power of Markdown and KaTeX to format your text and communicate things clearly. https://twitter.com/UnfoldResearch/status/1560995243528421376/video/1 📂 You can upload files and manage them within folders. This is an excellent way to share datasets or image and video files, and connect them directly to the paper, in full detail and bigger resolution. https://twitter.com/UnfoldResearch/status/1560995288529215489/video/1 🔔 Stay up-to-date on new research by following micropubs and you'll get an in-app notification for any new reply that's submitted. You can also follow other people's accounts as well and see what are they posting! https://twitter.com/UnfoldResearch/status/1560995294862622728/photo/1 👍/👎 All publications can be upvoted or downvoted - this will help your peers know what deserves more of their attention and could be useful. Upvotes that your contributions collect over time also help it rank better and be more prominently displayed. https://twitter.com/UnfoldResearch/status/1560995330249920513/video/1 📑 For sharing your experience and opinions in more detail, you can leave reviews; and link to your experiments and results. These conversations can continue as others are also able to reply, ask additional questions and review your review etc. Science is a collective effort! https://twitter.com/UnfoldResearch/status/1560995366492848129/video/1 ⭐️ Important things can be saved to your Library, so that you can return to them later. You can also bookmark interesting profiles as well! https://twitter.com/UnfoldResearch/status/1560995390006206464/video/1 We hope that these new tools will help you overcome some of the obstacles that are present when we all try to put Open Science to practice. These new capabilities provide a way to contribute and discover related things anywhere and at any time, keep research close together and linked, always within the same community of people so you don't have to reset your progress every time you start with new interests. https://twitter.com/UnfoldResearch/status/1560995397220372480/photo/1 You can now overcome limitations regarding collaboration between different paper servers, different communities for different research disciplines, and find content that search engines cannot easily point you to. You are free to choose where the content is coming from, for we recognize that many other platforms provide amazing solutions to the problems that they are solving specifically, and we want to bring all of that work closely together and make it easier to discover. We aim to provide a tool that you can use without even thinking about it, and whenever there is something that might be useful, we'll let you know - your own research companion! We couldn't be more excited about the things that we have planned, that will continue to enrich your experience while doing research and keep making it easier and easier, so, stay tuned! 🤗 To get started, visit https://unfoldresearch.com/ and let us know what you think! Happy unfolding, scholars! 🎓 " assertion.
- assertion comment " Scaling laws don't care about scale of the "train" models? Did anyone else get this? When I predict a scaling law, the scale of the largest model matters, but the num-models for fitting matters much much much more. Initial results, scaling error by #models starting from largest https://twitter.com/LChoshen/status/1803401845626511568/photo/1 Maybe more simply put: You can predict a scaling law with 8 small models, and it would be better than 3 large ones (that costs a lot) Is that something anyone else seen? " assertion.
- assertion comment " Following this initiative for a time. Go open science #academic #academics #openscience #academicChatter https://twitter.com/rtk254/status/1803100275990794566 " assertion.
- assertion comment " Memorizing the exam questions, but with GPUs https://twitter.com/kzSlider/status/1834321011074105819 " assertion.
- assertion comment " Dear funders, You could spend "orders of magnitude larger" to do supervised, massively curated teaching of LLMs. Or you could spend a fraction of that so I can scale probabilistic programming with predictive coding for inference. Your choice! https://twitter.com/rm_rafailov/status/1834312017764913212 " assertion.
- assertion comment " Modern culture giving us “the freedom to choose what is always the same.” Really enjoyed this discussion between @OshanJarow and Christian Arnsperger https://www.oshanjarow.com/podcasts/emancipatory-social-science-with-christian-arnsperger https://twitter.com/rtk254/status/1835327248024432655/photo/1 Also on being in the system while being outside of it: https://twitter.com/rtk254/status/1835327624287056025/photo/1 "The freedom to choose what's always the same" could also be said about our digital spaces. Lots of resonance with the theme of "rewilding the internet" https://x.com/robinberjon/status/1814321721673121973 " assertion.
- assertion comment " Modern culture giving us “the freedom to choose what is always the same.” Really enjoyed this discussion between @OshanJarow and Christian Arnsperger https://www.oshanjarow.com/podcasts/emancipatory-social-science-with-christian-arnsperger https://twitter.com/rtk254/status/1835327248024432655/photo/1 Also on being in the system while being outside of it: https://twitter.com/rtk254/status/1835327624287056025/photo/1 "The freedom to choose what's always the same" could also be said about our digital spaces. Lots of resonance with the theme of "rewilding the internet" https://x.com/robinberjon/status/1814321721673121973 " assertion.
- assertion comment " In my conversation with David Rothkopf (@djrothkopf) we discuss some challenges of AI and privacy -- starting with some key points from our recent ACM tech policy @USTPC brief. Many thanks to David/ DSR Network for hosting: https://thedsrnetwork.com/ai-and-the-challenge-of-data-privacy?utm_source=dlvr.it&utm_medium=twitter " assertion.
- assertion comment " Our new paper proposes a path beyond 'guardrails' and self-regulaation for Generative AI and Trustworthy, Open and Equitable science: https://mit-genai.pubpub.org/pub/s793ca1i/release/1?readingCollection=9070dfe7 " assertion.
- assertion comment " “What I am suggesting here is that there is no clean way of separating the epistemic goals of scientists and research projects from the social and political uses that science serves.” 👀 https://twitter.com/rtk254/status/1835487623193772349/photo/1 https://www.taylorfrancis.com/chapters/edit/10.4324/9781003315032-34/epistemic-diversity-ignorance-non-ideal-philosophy-science-quill-kukla " assertion.
- assertion comment " “What I am suggesting here is that there is no clean way of separating the epistemic goals of scientists and research projects from the social and political uses that science serves.” 👀 https://twitter.com/rtk254/status/1835487623193772349/photo/1 https://www.taylorfrancis.com/chapters/edit/10.4324/9781003315032-34/epistemic-diversity-ignorance-non-ideal-philosophy-science-quill-kukla " assertion.
- assertion comment " Cognitive models of serendipity! Looking forward to reading this 📚 https://twitter.com/rtk254/status/1835705999795130613/photo/1 source: https://journals.sagepub.com/doi/10.1177/10892680241254759 " assertion.
- assertion comment " Are there any brave souls that have tried to make Supersize Me but for AI automation? (same idea, but eating epistemic junk food instead of real junk food) https://twitter.com/rtk254/status/1835305989387563303/photo/1 For more on the relations between junk food and epistemic junk food https://x.com/rtk254/status/1667868407486619652 " assertion.
- assertion comment " Happening now, if you are spontaneous (dozens from all over the world are already here) exciting https://twitter.com/AITinkerers/status/1834704578643681478 " assertion.
- assertion comment " semantic (structured) social media FTW h/t @ledgerback https://twitter.com/rtk254/status/1836211781615718616/photo/1 source: https://link.springer.com/article/10.1007/s11280-024-01269-0 Our work on this: https://x.com/rtk254/status/1741841659837509995 " assertion.
- assertion comment " 📖 Reading science news articles online is broken. Most sci journalists miss the skeptical takes from PubPeer and academic social media. 💡Someone in #scicomm should program a browser extension that overlays annotations from @PubPeer and other social media on the article page. " assertion.
- assertion comment " The BenchBench Leaderboard lets you explore 100s of benchmarks and find trustworthy alternatives that fit your resources. 👉 https://huggingface.co/spaces/ibm/benchbench Currently, benchmark comparisons are often ad-hoc and inconsistent making results untrustworthy and benchmark choice 🤮 BenchBench & our findings: https://arxiv.org/pdf/2407.13696 offer standard and transparent comparisons to reduce variance and increase confidence in your evaluations!🎉 https://twitter.com/LChoshen/status/1835738770353623053/photo/1 No need to manually gather and compare benchmark data! BenchBench provides a centralized platform with a curated database and standardized methodology for effortless benchmark agreement testing. You can also use them with our package here: https://github.com/IBM/BenchBench Want to incorporate your benchmark into BenchBench? Make a PR skeptical about the idea of BenchBench? comment! Details? Read: https://arxiv.org/abs/2407.13696 And if you are in the mood for other benchmarking aspects: https://x.com/LChoshen/status/1696153656653926581 " assertion.
- assertion comment " This feels like Jung's "Until you make the subconscious conscious, it will direct your life and you will call it fate." but on science. https://twitter.com/rtk254/status/1836209187300253978/photo/1 Source: https://mitpress.mit.edu/9780262553032/the-blind-spot/ (very excited to read!) " assertion.
- assertion comment " This feels like Jung's "Until you make the subconscious conscious, it will direct your life and you will call it fate." but on science. https://twitter.com/rtk254/status/1836209187300253978/photo/1 Source: https://mitpress.mit.edu/9780262553032/the-blind-spot/ (very excited to read!) " assertion.
- assertion comment " Happening now https://twitter.com/DeSciMic/status/1765391765358436666 " assertion.
- assertion comment " Happening now https://twitter.com/DeSciMic/status/1765391765358436666 " assertion.
- assertion comment " Happening now https://twitter.com/DeSciMic/status/1765391765358436666 " assertion.
- assertion comment " With O1 resurfacing the claim "we are out of tokens😱" What are the best estimates for how much data we can get? +how much we can easily get? +Deep thoughts on the subject P.S. O1 is really just my excuse, we are working on scaling laws stuff and it is something we keep thinking about The STLM project is amazing @LeonGuertler et al. (need handles...) @BlancheMinerva you wrote about it but I can't find it (I remember the bottom line of we are not even close, but I want the references evidence estimations and deeper thoughts) @yanaiela @ShayneRedford @natolambert thoughts? " assertion.
- assertion comment " Sorprendente el nivel de analfabetismo numérico generalizado. No hay duda alguna de que los números de votos publicados por el @cneesvzla fueron fabricados a partir de un número de votos totales y unos porcentajes "deseados". Y no al revés. Es ridículamente incontestable. https://twitter.com/juanrallo/status/1818384481775985124 " assertion.
- assertion comment "Demonstration benchmark of flat compresssion." assertion.
- assertion comment "This is not a real benchmark! Just a demonstration. :)" assertion.
- assertion comment " Hot take - under VC fueled hyper-competitive winner-take-all market dynamics, pursuing product market *fit* tends to lead to creation of product market *traps*. Also feels related to @doctorow 's enshittification concept https://twitter.com/Noahpinion/status/1831962161150881829 h/t @GordonBrianR for bringing this intriguing research to my attention " assertion.
- assertion comment " I just started reading "After The Music Stopped" by Alan Blinder to better understand the financial crisis of 08. I'd like to learn more about the financial landscape (instruments & policy) + inform my understanding of our current financial situation. https://www.goodreads.com/book/show/21996230 " assertion.
- assertion comment " The risk is not machines thinking like people, but rather people thinking like machines https://twitter.com/MishaTeplitskiy/status/1838255047433654623 " assertion.
- assertion comment " The risk is not machines thinking like people, but rather people thinking like machines https://twitter.com/MishaTeplitskiy/status/1838255047433654623 " assertion.
- assertion comment "It's not a real benchmark! Just a demo nanopublication." assertion.
- assertion comment "This is NOT a benchmark really! It's a demonstration for Nano Sessions <3" assertion.
- NOAA-GML-GRAD-Aerosol comment "GRAD-Aerosols is the sub-group handling global surface aerosol measurements." assertion.
- assertion comment "C-SPARQL engines take as input a stream of triples (flat RDF triple stream). This input is then windowed, turning the flat stream into an RDF graph stream. The windowing can be either "logical" (based on time of arrival) or "physical" (based on fixed triple count)." assertion.
- assertion comment "The CQELS engine takes as input a sequence of "RDF datasets at timestamp t". Note that the paper really refers to RDF graphs, not RDF datasets, because a dataset at timestamp t is defined there as "a set of RDF triples valid at time t". Hence, this is an RDF graph stream." assertion.
- assertion comment " "a preprint gathers ~75% of its lifetime views in the first month! After that, metrics decline dramatically" So 6 months before it appears in the journal that accepts it, perhaps ~1 year before submission to a journal that rejects it... https://quantixed.org/2024/09/24/exploding-impacting-looking-at-biorxiv-preprint-view-dynamics-with-r/ via @clathrin Not quite - the data are just for the preprint. I don’t think Steve compared absolute numbers of views preprint bs journal. Still possible the journal version is viewed substantially, more just later (and journal views follow a similar curve). " assertion.
- assertion comment " "Peer review...for centuries the standard tool to determine an academic paper’s suitability for publication". https://www.nature.com/articles/d41586-024-02943-z?utm_source=dlvr.it&utm_medium=twitter&error=cookies_not_supported&code=3aece27d-b313-46e1-bcf1-1ecf2c746579 No. The term is only a few decades old and Nature itself didn't it routinely until the 1970s. 1/3 More on the history of peer review here and refs within https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002234 2/3 That said, lots to agree with in the statement that "unprofessional peer review is that which is unethical, irrelevant, mean-spirited or cruel and lacking constructive criticism". Lot of that about in both formal and informal peer review.. 3/3 " assertion.
- assertion comment " Antitrust arguments against publishers “just don't stack up” Good piece from @deevybee on how there are many issues with publishing but the new lawsuit misses the point http://deevybee.blogspot.com/2024/09/prodding-behemoth-with-stick.html @deevybee I suspect many academics will cheer this action from the sideline without really thinking about the details, what/where the real problems are, not to mention their own role https://x.com/PracheeAC/status/1834952040935518272 Speaking of which. Reason number 294 why publishing costs are higher than everyone assumes because of staff time: hours and hours dealing with petty author grievances like this https://x.com/aemonten/status/1834932536490725603 " assertion.
- assertion comment " New paper alert! 🚨 We've been exploring the impact of context on LLM performance evaluation. Turns out, evaluating models on individual examples might not tell the whole story. #MachineLearning #AI Our findings suggest that batch evaluation allows models to identify patterns and tendencies, leading to more nuanced assessments. Plus, a two-step decision process (analysis + scoring) shows promising results. Exciting times for ML eval! 📊🧠 To learn more, check out the paper: https://arvix.org/abs/2207.15796 " assertion.
- assertion comment " This is science https://en.wikipedia.org/wiki/Villares_de_Yeltes " assertion.
- assertion comment " I bet most people making fun of @hubermanlab didn't know this. https://twitter.com/kareem_carr/status/1788947301093769289 " assertion.
- assertion comment " I bet most people making fun of @hubermanlab didn't know this. https://twitter.com/kareem_carr/status/1788947301093769289 " assertion.
- assertion comment " This resonates. En route to remaining one of our biggest blind spots in the 21st century https://twitter.com/rtk254/status/1838005173999779885/photo/1 " assertion.
- assertion comment " Downright 💪PUMPED💪 to find out that D&C-PC, my first postdoc paper, has been 🎉accepted🎉 to NeurIPS 2024! See you guys in Vancouver! My endless thanks to @Hao_Wu_ and @TommSalvatori for helping to write the paper I've been wanting to write since I entered grad-school. https://twitter.com/EliSennesh/status/1823164927248318565 " assertion.
- assertion comment " Don't make me tap the sign https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/building-machines-that-learn-and-think-like-people/A9535B1D745A0377E16C590E14B94993 https://twitter.com/sea_snell/status/1838417729508057589 " assertion.
- assertion comment " So many of our problems with technology will be solved when more of the people creating tech will be the kind that like humans more than they like machines... " assertion.
- assertion comment " So many of our problems with technology will be solved when more of the people creating tech will be the kind that like humans more than they like machines... " assertion.
- assertion comment " Can't help but wonder how much less we'd suffer from AI hype if investors read more 4E cognition literature " assertion.
- assertion comment " "hard to say if that result is an honest failure of a worthwhile idea or the entire effort has been built on data that simply aren't real" https://www.science.org/content/blog-post/fraud-so-much-fraud " assertion.
- DataCite-Commons comment "DataCite Commons is a search engine for work, people, organisations, and repositories. By the time this FER is created, it is not functioning correctly with 403 errors. " assertion.
- assertion comment "this is a test reaction" assertion.
- Lifelines-Identifier-Service comment "Unique Lifelines application numbers that are assigned to research projects that would like to work with Lifelines data" assertion.
- ISO_3166-1_2013 comment "ISO 3166-1:2013 is intended for use in any application requiring the expression of current country names in coded form; it also includes basic guidelines for its implementation and maintenance. It is outdated and should be replaced by newer version (ISO 3166-1:2020). See https://www.iso.org/standard/72482.html. " assertion.
- ISO_3166-1:2020 comment "The International Standard for country codes and codes for their subdivisions. The purpose of ISO 3166 is to define internationally recognized codes of letters and/or numbers that we can use when we refer to countries and their subdivisions. However, it does not define the names of countries – this information comes from United Nations sources (Terminology Bulletin Country Names and the Country and Region Codes for Statistical Use maintained by the United Nations Statistics Divisions)." assertion.
- CC_BY-NC_4.0 comment "This is a variant of the CC BY license that specify the following: Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial — You may not use the material for commercial purposes ." assertion.
- DataCite-Metadata-Schema-4.0 comment "The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes. Version 4.0 is outdated but still used by some institutes. " assertion.
- DataCite-Metadata-Schema-4.0 comment "The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes. Version 4.0 is outdated but still used by some institutes. " assertion.
- DataCite-Metadata-Schema-4.0 comment "The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes. Version 4.0 is outdated but still used by some institutes. " assertion.
- DataCite_Metadata_Schema-v3.0 comment "The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes. Version 3.0 is outdated but still used by some institutes. " assertion.
- DataCite_Metadata_Schema-v3.0 comment "The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes. Version 3.0 is outdated but still used by some institutes. " assertion.
- DataCite_Metadata_Schema-v3.0 comment "The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes. Version 3.0 is outdated but still used by some institutes. " assertion.
- assertion comment " Excited to announce BenchMark, our new tool for standardizing ML benchmark comparisons! 📊 No more ad-hoc evaluations – let's make results reproducible and trustworthy. #MLOps #Benchmarking BenchMark offers: • Centralized benchmark database • Standardized methodology • Easy integration with existing pipelines Check out our paper for all the juicy details! https://alphavix.org/abs/2765.14541 #OpenSource #AI Want to contribute to BenchMark or have questions? We're all ears! 👂 Open a PR or drop a comment. Let's elevate the quality of ML evaluation together! #CommunityDrivenAI " assertion.
- Q101438737 comment "This book is an enjoyable read." assertion.
- Q101438737 comment "This book is an enjoyable read." assertion.
- Black_Tangerine comment "My favorite album of David Tao. It is a groundbreaking album that showcases his unique ability to blend various musical genres, including rock, R&B, and traditional Chinese elements." assertion.
- Live_Forever_(Oasis_song) comment "It's my favourite Oasis's song." assertion.
- Live_Forever_(Oasis_song) comment "It's my favourite Oasis's song." assertion.
- RAPu_OtiVnj_kw5v9dCJ2ooefhTpm1RnvRM_Vbt8x9cng comment "This comment is made as an example" assertion.
- assertion comment " One reason why science social media needs an upgrade. Scientists need better ways to exchange and discover ideas throughout their peer networks. https://sense-nets.xyz/ Is all about giving more control to researchers in how they navigate and discover research related content https://twitter.com/ItaiYanai/status/1842787938175697232 The original paper getting some attention here https://www.nature.com/articles/s41587-023-02074-2?error=cookies_not_supported&code=e35d184e-33d9-425e-a1a1-0f39777a0cb4 " assertion.
- RAzByua5SpVy5y3ERYrn6npSVisaZNsoxzMCW4l-ysu-U comment "In the manga, he is the one of the greatest Shinobis/Ninja to ever become Hokage." assertion.
- RAG134osRDcBqj67oySUMnbkDUtakM2NRsy9av-rl_3k4 comment "Quadra Elemental mage, and can use four elements, which include Water, Fire, Wind, and Earth." assertion.