Deep Learning For Code Workshop @DL4Code
ICLR 2023 Deep Learning For Code (DL4C) Workshop dl4c.github.io Joined October 2021-
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Thanks to all the authors from the lightning talks who went through the added effort of recording videos for us! Please checkout all the recorded videos here: drive.google.com/drive/folders/…
Come join us for the panel discussion happening now!
After a successful launch of 💫StarCoder - our new 15B LLM for code. I'm Happy to be presenting this afternoon our previous paper "SantaCoder: don't reach for the stars!" aka smol StarCoder at ICLR @DL4Code workshop this afternoon. #ICLR2023 huggingface.co/blog/starcoder
Our invited speakers @harm_devries and @lvwerra would be talking about this tomorrow. Please join us tomorrow virtually at 10:30 am EST/4:30 PM CAT. #ICLR2023 virtual site: iclr.cc/virtual/2023/w…
Our invited speakers @harm_devries and @lvwerra would be talking about this tomorrow. Please join us tomorrow virtually at 10:30 am EST/4:30 PM CAT. #ICLR2023 virtual site: iclr.cc/virtual/2023/w…
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127 Followers 178 Following PhD student @WisconsinCS, MS @nyuniversity, Former @magicailabs, @Google, @MerlinAero, @TheteamatxIntroducing: 💫StarCoder StarCoder is a 15B LLM for code with 8k context and trained only on permissive data in 80+ programming languages. It can be prompted to reach 40% pass@1 on HumanEval and act as a Tech Assistant. Try it here: shorturl.at/cYZ06r Release thread🧵
New preprint on a super simple idea: use LMs outside of NLP by querying them for *parameters* of domain-specific models. Even w/ lots of task data, greatly improves generalization on rare / unusual inputs and sometimes overall accuracy! with @belindazli @verityw_ @pratyusha_PS
🎉New Paper🎉 Language models possess a great deal of common-sense knowledge about real-world environments.🌎 How can we take advantage of this for *non-linguistic* tasks? 🔗: arxiv.org/abs/2302.02801 🧵1/
A series of exciting workshops are lined up for ICLR 2023: blog.iclr.cc/2022/12/21/ann…. Please consider contributing to the workshops and joining the first major AI conference in Africa. #ICLR
Excited to share that the second installment of Deep Learning for Code workshop is back at ICLR 2023! Considering submitting your work by Feb 3rd, 2023. Details: dl4c.github.io/callforpapers/ @tscholak @GOrlanski @DL4Code
Submissions are now open at: openreview.net/group?id=ICLR.….
Excited to co-organize the 2nd @DL4Code workshop w/ @DishaShrivasta9 @tscholak @GOrlanski . We are looking for contributions (due Feb. 3) and reviewers. See dl4c.github.io/callforpapers/ for details. Workshop sponsored by @AmazonScience
Excited to share that the second installment of Deep Learning for Code workshop is back at ICLR 2023! Considering submitting your work by Feb 3rd, 2023. Details: dl4c.github.io/callforpapers/ @tscholak @GOrlanski @DL4Code
This was a great workshop! Congratulations to the organizers
Thank you to all who attended the talks and the poster sessions today! It was amazing to see the enthusiasm and passion everyone has for this field.
Thrilled to share our work on Scotch today at @DL4Code workshop at #ICLR2022. Scotch is a contextual and semantic code search engine for IDEs, eliminating the need to navigate to web browsers to search for code. Paper: openreview.net/forum?id=rSxfC… @adyasha10 @mohitban47 @uncnlp
Tomorrow, excited to present some recent work on using natural language supervision to build better models of policies and programs at the @DL4Code workshop!
Tomorrow we will present our spotlight presentation and poster at the @DL4Code workshop at @iclr_conf! Come to chat! Paper: CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code openreview.net/forum?id=rd-G1…
We'll be presenting our Scratchpad work at the Deep Learning for Code workshop (@DL4Code) at @iclr_conf Friday 2pm ET / 11am PT! Come say hi!
New paper! arxiv.org/abs/2112.00114 We show that huge language models (137B params!) can be trained to solve algorithmic tasks by “showing their work”---writing intermediate text to a scratchpad. This “scratchpad” technique even allows us to predict the execution of Python code.
Hi there! I will host the Deep Learning for Code panel at the @DL4Code workshop at @iclr_conf on Friday at 1pm EDT. If you have questions for our amazing panelists, please use this form, forms.gle/NaQJdiVsF69Uj9…, and select "Panel Discussion", and I will try to include them.
Please join us for the Deep Learning for Code (@DL4Code) workshop at @iclr_conf this Friday starting from 8am EST. We have a fantastic lineup of exciting talks, panel discussion, spotlight session and poster presentations! The details of the invited talks are as below: (1/N)
Excited to announce our work: Learning to Superoptimize Real-World Programs has been selected as the best paper at the @DL4Code workshop! Congrats and a huge thanks as well to my co-authors @gneubig, Ed Schwartz, @pengchengyin, @clegoues, and @jlacomis. dl4c.github.io/papers/
I am super excited to speak at @DL4Code (co-located with #iclr2022) about my work on deep learning for program synthesis! Thanks the organizers for putting together this wonderful workshop, and I am looking forward to discussing various topics in this exciting area!
📢📢We are very excited to announce that @xinyun_chen_ will be speaking at the Deep Learning For Code Workshop! The full lineup of incredible speakers and schedule can be found here: dl4c.github.io/speakers/
Happy to share that we will be organising the Deep Learning for Code workshop at @iclr_conf 2022! Stay tuned for more info on dl4c.github.io and @DL4Code! We have got a star-studded line-up of speakers 🌟
Very excited that our first "Deep Learning For Code" (DL4C) workshop will be held at ICLR 2022! We are excited to have talks from @gneubig @jacobandreas @dawnsongtweets @miltos1, and Jerry Tworek Stay tuned for more! dl4c.github.io
I will be moderating this panel discussion! We have a very interesting lineup of panelists ( see invited speakers on aiplans.github.io/schedule/) Please submit your questions via the form below :)
Next Tuesday (Dec 14) at AIPLANS we will have a live panel session with the invited speakers, at 10-11AM EST. Should you have any questions, don't be shy and let us know what you would like to know! Ask your questions here: forms.gle/Di5kRWPfd2BCEH… #NeurIPS2021
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