
Deep Learning For Code @ ICLR'25
@dl4code
Deep Learning For Code (DL4C) Workshop (ICLR'22, '23 and 🔜 '25)
ID: 1454151268629458948
https://dl4c.github.io/ 29-10-2021 18:21:06
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🚀 ICLR week is upon us! Join us at the #DL4C Workshop to hear Xingyao Wang (Xingyao Wang) discuss LLMs evolving into SE agents, covering the CodeAct framework (code exec as action), the OpenHands platform (dev-like generalist agents), & SWE-Gym (real-world task training).

Just 6 days until #DL4C! 🗓️ Daniel Fried (CMU / Meta AI) Daniel Fried AI at Meta will be sharing insights on how inducing functions from code makes LLM agents smarter and more efficient. Don't miss it! See you Sunday! #ICLR2025 #iclr

Go beyond code completion! Baptiste Rozière (Baptiste Rozière) presents his work at Mistral AI automating code tasks (IDE tools, agents) for better developer focus. Catch him this Sunday at #DL4C! #ICLR2025 #iclr

Cannot attend #ICLR2025 in person (will be NAACL and Stanford soon!), but do check out 👇 ▪️Apr 27: "Exploring the Pre-conditions for Memory-Learning Agents" led by Vishruth Veerendranath and Vishwa Shah, at SSI-FM workshop ▪️Apr 28: our Deep Learning For Code @ NeurIPS'25 workshop with a fantastic line of works &


We're excited to welcome our fourth speaker Tao Yu, Assistant Prof at The University of Hong Kong and director of XLANG NLP Lab. His groundbreaking work in grounding language into code and actions spans digital and physical environments, aiming to democratize data science and enhance


The workshop is happening now featuring our first invited speaker Daniel Fried from Carnegie Mellon University / AI at Meta talking about "Inducing Functions to Improve LLM Agents"



Now Stefania Druga from Google DeepMind is talking about The Future of Multimodal AI Applications for Code, live from Japan!

