CFP: Emergent Possibilities and Challenges in Deep Learning for Code

Workshop part of ICLR 2025.

We invite original research paper submissions from a wide range of topics related to deep learning for code, including but not limited to:

  • Agentic Methods for Programming Tasks Agents able to solve realistic coding tasks, such as solving GitHub issues or software developing tasks.

  • Post-training and Alignment for Code Alignment for code, including but not limited to how to learn from human feedback, execution feedback, and AI feedback for better code generation.

  • Developer Productivity and HCI for Code Adaptation of models to users’ needs to increas developer productivity, including studies on human-AI interaction for code from different disciplines (Machine Learning, Human-Computer Interaction, and Software Engineering, etc.).

  • Open Science and Responsible AI for Code Contributions from researchers who follow responsible AI practices and strive for openness and transparency in their work and who are willing to share their code, models, and data. We also welcome contributions from researchers interested in developing open science practices for deep learning for code.

  • Benchmarking and Evaluation for Code Benchmarks for code such execution-based benchmarks, code understanding, code efficiency, model-based judges, and project-level context.

Other topics of interest include but are not limited to: Reinforcement Learning for Code, Pre-training Methods and Representation for Code, From Natural Language To Code, Code Generation for Applications Beyond Code such as Reasoning, Decision Making, and Algorithmic Discovery, Formal Methods for Code, and various applications of code models such as Program Repair, Code Translation, Code Explanation, etc.

Please consider submitting a paper describing your work, which can be research papers, technical papers, position papers, or system demonstrations. We are calling for papers with 4 to up to 8 pages of content plus unlimited references. To prepare your submission, please use the LaTeX style files for ICLR 2025, provided at https://github.com/ICLR/Master-Template/raw/master/iclr2025.zip.

Important Dates

  • Submissions will open in January, we will share the link for the submission on this page.
  • Submissions will close February Feb 3rd, 2025 23:59 AoE. There is no separate deadline for abstracts.
  • Accept/reject notifications will be sent March 5th, 2025.
  • Authors of spotlighted papers will be invited to give a short talk at the workshop and will be notified with details shortly after the acceptance notifications.
  • Camera-ready pdfs and posters of accepted submissions are due by March 20th, 2025 11:59 PM AoE.
  • The workshops will take place on April 27th, 2025 at the Singapore EXPO

DL4C is non-archival and thus dual submission is allowed where permitted by third parties. Please see the FAQ below for more details. Authors should check their email (and spam folder) for acceptance decisions and instructions on how to submit their camera-ready paper and poster by the deadline.

Tiny papers

We also encourage the submission of Tiny Papers with the following goas:

  • Creating alternative, complementary, and diverse entry points to research. And in particular, creating approachable avenues for beginners to enter and enjoy the ICLR community.
  • Celebrating intermediate breakthroughs in machine learning.
  • Efficiently disseminating ideas, findings, and opinions. We require every submission to have at least one key author that meets the underrepresented minority (URM) criteria.

The papers will be two pages long (plus references) and their submission process will follow the same timeline of the other contributed papers. We will share a link for the submission in January 2025.

FAQ

Will the OpenReview be open to the public?

We will implement the following policy:

  1. All submissions will be private – to their respective authors, to the reviewers assigned to review them, and to the workshop organizers – until the camera-ready due date.
  2. We will communicate the accept/reject decisions individually and privately to the respective authors.
  3. Accepted submissions (abstract + pdf) will be publicly visible after the notification.
  4. Rejected and withdrawn submissions will not become public.
  5. Reviews will not be made public. They will be visible only to the authors, the reviewers who will have written them, and the organizers.
Anonymity requirements

Submissions should be anonymized for a double-blind review. We do not set an anonymity period.

That means you must submit your paper pdf with author names and affiliations removed, but you can still share it publicly on platforms like ArXiv or on social media.

Dual submission

We accept submissions of the following types:

  1. Fully original work not submitted elsewhere.
  2. Work that is submitted elsewhere and is still under review. If you submit, make sure you are not violating the submission guidelines and anonymity requirements of the other venue(s).
  3. Work that has been rejected at ICLR 2025.

Furthermore, for authors of work accepted at ICLR 2025 who wish to promote their work at DL4C, we will be happy to consider a dual submission. The DL4C organizers will decide if the work is going to be cross-listed on the DL4C website. The decision is based solely on relevance to DL4C; there will not be a review process for the work. Such submissions are exempt from spotlighting, and a poster slot is available upon request. Please contact us.

How do I submit a paper?

We will share the link to the submission website in January 2025.

Authors of papers accepted at ICLR 2025 who wish to submit their work to the workshop do so by contactig us via email.

Are we allowed to submit a paper with an appendix?

Yes, you can submit an appendix but reviewers will be instructed to only review the first 8 pages excluding references.

Awards and prizes

We will have awards at the workshop. The details will be announced later.

How do I submit a poster?

Accepted papers will be invited to submit a poster that will be displayed during the workshop. The link to upload the poster will be shared later.

How do I submit a demo?

Please contact us.