내가 좋아할 만한 콘텐츠
#ICLR25 Presenting our work on leveraging LLM code generation methods for ARC-AGI today at 3pm, Hall 3 + 2B, Poster 232! Come check out our paper, winner of the 2024 ARC-AGI paper competition!
New ARC-AGI paper @arcprize w/ fantastic collaborators @xu3kev @HuLillian39250 @ZennaTavares @evanthebouncy @BasisOrg For few-shot learning: better to construct a symbolic hypothesis/program, or have a neural net do it all, ala in-context learning? cs.cornell.edu/~ellisk/docume…
Final 48 hours! ⏰ Got interesting results about coding agents? Come share your work with the community and engage with our incredible speaker lineup spanning academia to industry!
🚨 FINAL CALL: Only 2 days left to submit to the 𝔻𝕖𝕖𝕡 𝕃𝕖𝕒𝕣𝕟𝕚𝕟𝕘 𝕗𝕠𝕣 ℂ𝕠𝕕𝕖 𝕚𝕟 𝕥𝕙𝕖 𝔸𝕘𝕖𝕟𝕥𝕚𝕔 𝔼𝕣𝕒 (DL4C) workshop at NeurIPS2025 ! 🗓Deadline: Aug 27th, 11:59PM UTC-12 Amazing speaker lineup including experts from CMU, UC Berkeley, Replit, poolside,…
Please join DL4C workshop as a reviewer if you have experience on deep learning for code and especially coding agents!
🚀 Join the Program Committee for Deep Learning for Code (DL4C) Workshop at NeurIPS2025! 🔬 We would be honored to have you join us as a reviewer! ⏰ Review Period: Aug 29 - Sep 12 📝 Efficient process with concise review forms to respect your time ⚡ Ready to contribute? Fill…
🚀 Join the Program Committee for Deep Learning for Code (DL4C) Workshop at NeurIPS2025! 🔬 We would be honored to have you join us as a reviewer! ⏰ Review Period: Aug 29 - Sep 12 📝 Efficient process with concise review forms to respect your time ⚡ Ready to contribute? Fill…
🎯 DL4C@NeurIPS'25 submissions are due in 10 days! 📷 If you are interested in AI and code, this the NeurIPS workshop for you. We're looking for innovative papers topics like: * Agentic Methods for Programming Tasks * Post-training and Alignment for Code * Developer…
new deepseek release almost on-par with o3 (high) on livecodebench 😲🚀
What a fantastic 3rd #DL4C at @iclr_conf! Our deepest thanks to all speakers, presenters, attendees, and every community members who made this workshop so vibrant and meaningful. Can't wait to continue these conversations and reunite with our growing community at the next #DL4C!
Thanks to everyone who joined us at the 3rd @DL4Code workshop at #ICLR2025! Deeply appreciate all the speakers, presenters, participants, and co-organizers who made it such a success. It was great seeing everyone in person and so much fun chatting about your amazing work!…
Starting our afternoon session with @minimario1729 talking about challenges in AI for SE like library and API version updates! #DL4C #ICLR2025 #ICLR
First time see @xingyaow_ in person talking about @allhands_ai
Come join us for the Deep Learning for Code workshop today at Room 218! Exciting line up of talks — from AI agents to the future of software engineering!
Come join us for the Deep Learning for Code workshop today at Room 218! Exciting line up of talks — from AI agents to the future of software engineering!
The workshop is happening now featuring our first invited speaker @dan_fried from @CarnegieMellon / @metaai talking about "Inducing Functions to Improve LLM Agents"
The workshop is happening now featuring our first invited speaker @dan_fried from @CarnegieMellon / @metaai talking about "Inducing Functions to Improve LLM Agents"
Just arrived in Singapore 🇸🇬 for #ICLR25 to present several papers on LLMs for code generation! Excited to reconnect with old friends and meet new ones—happy to chat about all things LLMs, codegen, and reasoning. Also, come check out our LiveCodeBench poster this afternoon!
Heading to ICLR to present LiveCodeBench at the Friday afternoon poster session and Challenges and Paths Towards AI For SWE at various ICLR workshops. Looking forward to connecting with folks working on Code and LLM Evaluation! (DMs open) PS: Check out our recent v6 update 🚀
Heading to ICLR to present LiveCodeBench at the Friday afternoon poster session and Challenges and Paths Towards AI For SWE at various ICLR workshops. Looking forward to connecting with folks working on Code and LLM Evaluation! (DMs open) PS: Check out our recent v6 update 🚀
SWE jobs have long been a battleground for autonomous AI. I was a bit surprised when @minimario1729 reached out, hoping to add human-AI collaboration to the AI4Code roadmap. Initially, it was only a standalone section--but later became woven into every part of Paths Forward. 1/4
📢 Excited to share our new paper: Challenges and Paths Towards AI for SWE We discuss: 🛠️ 6 sub-tasks needed for SWE 🤖 9 challenges of today's AI in SWE 🔮 9 future directions to address the challenges w/ collaborators from MIT, Berkeley, Cornell, Stanford, and UPenn ⬇️ (1/n)
🤔 Has AI really solved software engineering? Our roadmap paper explores where AI excels—and where it still struggles. Challenges in continuous learning, adapting to new codebases, long-horizon planning, human-AI collaboration, etc., suggest there’s more work ahead. Check it…
📢 Excited to share our new paper: Challenges and Paths Towards AI for SWE We discuss: 🛠️ 6 sub-tasks needed for SWE 🤖 9 challenges of today's AI in SWE 🔮 9 future directions to address the challenges w/ collaborators from MIT, Berkeley, Cornell, Stanford, and UPenn ⬇️ (1/n)
Check out evaluations for QwQ-Max-Preview on LiveCodeBench where it performs on par with o1-medium🚀!!
<think>...</think> QwQ-Max-Preview Qwen Chat: chat.qwen.ai Blog: qwenlm.github.io/blog/qwq-max-p… 🤔 Today we release "Thinking (QwQ)" in Qwen Chat, backed by our QwQ-Max-Preview, which is a reasoning model based on Qwen2.5-Max. This model is still for preview. It is highly…
We extended the deadline to Wednesday. There’s still time to submit your deep learning for code work!
We are extending the submission deadline by 48 hours (now Feb 12th EoD AoE)! Hope this gives you a bit more time to polish your paper :) @iclr_conf #DL4C #ICLR2025
⌛️Two days left until the deadline! Looking forward to your submissions! @iclr_conf #DL4C #ICLR2025
🚀Excited to share the 3rd Deep Learning for Code workshop is back at @iclr_conf'25! This year we’ll focus on emergent challenges in the field, e.g., agents, post-training, developer productivity, open science, and benchmarking for code Submit by Feb 3 dl4c.github.io🧵⬇️
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내가 좋아할 만한 콘텐츠
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Pan Lu
@lupantech -
Alex Gu
@minimario1729 -
Ekin Akyürek
@akyurekekin -
Denny Zhou
@denny_zhou -
Justin Thaler
@SuccinctJT -
Martin Vechev
@mvechev -
Tao Yu
@taoyds -
Jesse Michael Han
@jessemhan -
Wangchunshu Zhou
@wangchunshu -
Benedikt Bünz ☕️
@benediktbuenz -
Shane Gu
@shaneguML -
Yi Sun ⨇
@theyisun -
Herbie Bradley
@herbiebradley -
Jason Phang
@zhansheng -
Weikeng Chen | BIP-420 🐱
@weikengchen
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