Replying to @terryyuezhuo
@terryyuezhuo kicked off the DL4C workshop @ @icmlconf and we have @Diyi_Yang (@Stanford) on stage right now!
Deep Learning For Code @ ICML'26 retweeted
At @icmlconf 🇰🇷 this week and excited to host the 5th @DL4Code this Friday! We have an amazing lineup of speakers:
- @Diyi_Yang (@stanfordnlp/@humansand)
- @syhw (@AIatMeta)
- @lschmidt3 (@Stanford/@AnthropicAI)
- @LittleXie5 (@hkust/@Alibaba_Qwen)
plus great papers and custom DL4C swag!📍HALL B2
Also very proud of two of my past interns presenting at the main conference:
- @terryyuezhuo on "Training Language Model Agents to Find Vulnerabilities with CTF-Dojo" Tue 2pm HALL A #3314
- @setlur_amrith on "Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes" Wed 10:30am HALL A #1902
Come say hi! ☕️👋
Deep Learning For Code @ ICML'26 retweeted
🚨 Due to overwhelming interest, we’re extending the workshop submission deadline to May 19, 2026 @ 11:59 PM AOE ⏰
You’ve got extra time and submit your best work! 📄✨
🚀 5th DL4C Workshop @ ICML'26
Towards Human-Centered Coding Agents! 🤖👥
Deadline: May 15, 2026 ⏰
Submit now: openreview.net/group?id=ICML…
🚨 Due to overwhelming interest, we’re extending the workshop submission deadline to May 19, 2026 @ 11:59 PM AOE ⏰
You’ve got extra time and submit your best work! 📄✨
🚀 5th DL4C Workshop @ ICML'26
Towards Human-Centered Coding Agents! 🤖👥
Deadline: May 15, 2026 ⏰
Submit now: openreview.net/group?id=ICML…
🚀 5th DL4C Workshop @ ICML'26
Towards Human-Centered Coding Agents! 🤖👥
Deadline: May 15, 2026 ⏰
Submit now: openreview.net/group?id=ICML…
🤖 Made with AI
Deep Learning For Code @ ICML'26 retweeted
Excited to share that 𝘁𝗵𝗲 𝟱𝘁𝗵 @DL4Code 𝘄𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗶𝘀 𝗰𝗼𝗺𝗶𝗻𝗴 𝘁𝗼 #ICML2026🇰🇷. Grateful to everyone who helped make this such an energizing space for the field!
Also, a belated update on our position paper 𝗛𝘂𝗺𝗮𝗻𝘀 𝗮𝗿𝗲 𝗠𝗶𝘀𝘀𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗔𝗜 𝗖𝗼𝗱𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵. What I’m especially proud of in the paper is the core argument: the next frontier for coding agents is not just more autonomy, but better human collaboration. As agents get stronger, the real bottleneck is increasingly whether people can align with them, steer them, verify their outputs, and trust them in real workflows. We turn that observation into concrete research agenda for building coding agents that are genuinely more useful.
The seed for this paper came from an early conversation with the awesome @KLieret at #NeurIPS. I later discussed the idea with @jyangballin, which led to further conversations with @ZhiruoW @Diyi_Yang, and the final paper was led by these folks together with a fantastic group of co-authors. Parts of the argument were also shaped by wonderful discussions at the #DL4C workshops at #ICLR and #NeurIPS last year.
Check it out! zorazrw.github.io/files/posi…
Deep Learning For Code @ ICML'26 retweeted
Often, a bug I have had to fix has been tied directly to overly verbose or defensive code from an AI agent that has eroded my project as the specs changed. Why isn't there an eval for this?
There is now. Very excited to announce SlopCodeBench scbench.ai
Deep Learning For Code @ ICML'26 retweeted
I will be talking about the Future of Multimodal AI applications at this @iclr_conf workshop on Monday 28th April at 2 pm local time #ICLR25 dl4c.github.io/schedule/ – at Minato-ku, Tokyo
We also have an exciting line-up of speakers and agenda. Stay tuned for more details!
Workshop organized by @zijianwang30 @GOrlanski @devjeetrr @ZhiruoW @sivil_taram @xu3kev @610v4nn1__ @ying11231
Questions? Email us dl4c at googlegroups.com !
#iclr #lcir2025 #dl4c
We are calling for regular, position, system demonstration, and *tiny papers* papers following @iclr_conf 's guideline. All papers are non-archival and dual submission is allowed. In addition, we are calling for PC members – see our website for details.
Other deep learning for code topics of interest include but are not limited to: Data, Pre-training, NL2C, Formal Methods, Repair, Translation, Explanation, and Generation for Applications e.g. Reasoning, Decision Making, and Algorithmic Discovery
🚀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🧵⬇️
Deep Learning For Code @ ICML'26 retweeted
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/starcode…
Please feel free to reach out to us or our fantastic team of co-organizers (@tscholak, @zijianwang30, @DishaShrivasta9, @GOrlanski and @devjeetrr) for any questions. See you tomorrow! Don't forget to git commit and push your code :)
We have a bunch of interesting invited talks from Prof. Armando Solar-Lezama, @alexpolozov, @harm_devries, @lvwerra, @dtarlow2 and @polikarn. Check out our schedule page at iclr.cc/virtual/2023/worksho… or dl4c.github.io/schedule/ for the details of the talks and their timings.
🎉 Tomorrow is the day! 🎉
We are extremely excited to welcome everyone to the 2nd installment of the Deep Learning For Code Workshop!
Start: 8:30 am EST/ 2:30 PM CAT
ICLR: iclr.cc/virtual/2023/worksho…
Webpage: dl4c.github.io/schedule/
#ICLR2023
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/worksho…
Introducing: 💫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🧵
























