Call for Papers
The submission deadline is extended to October 4!
- Submission Begins: September 1, 2023
- Submission Deadline:
October 1, 2023October 4, 2023 (11:59pm, anywhere on earth)
- Notification of Acceptance: October 27, 2023
- Camera-ready papers due: November 9, 2023
- Workshop Date: December 15, 2023
Topics of Interest
Centering on “instructions,” we invite submissions covering various topics, including but not limited to the list below:
- Modeling: algorithms and pipelines for learning from instructions and human feedback; designing training objectives and rewards; training and inference efficiency
- Data Collection: crowd-sourcing; synthetic data generation; data democratization
- Evaluation and Oversight: effective and reliable oversight over existing models; enforcing guardrails and guarantees for model behaviors; interpretability and analysis
- Engineering and Open-sourcing: best practice in training, evaluation and deployment; open-sourcing efforts; openness and reproducibility
- Applications: long-context, multi-round and personalized instruction-following models
- Multimodal and Multidisciplinary: instruction following models for computer vision, robotics, games, art, etc.
- Limitations, Risks and Safety: bias and fairness; factuality and hallucination; safety concerns arising from instruction-following models
- Other adjacent research topics (e.g., in-context learning, prompting, multi-task learning) that enable better responses to instructions in dynamic environments
- Paper submission is hosted on OpenReview.
- We welcome papers up to 9 pages (max), not including references or appendix.
- Please use the provided LaTex template (zip, overleaf) for your submission.
- The paper should be anonymized and uploaded to OpenReview as a single PDF.
- You may use as many pages of references and appendix as you wish, but reviewers are not required to read the appendix.
- We welcome 4-page extended abstract submissions.
- This is a non-archival workshop. No submission will be indexed nor have archival proceedings.
- Accepted papers will appear on the workshop website.
- They will also be available on OpenReview and NeurIPS virtual site.
- We accept submissions that are under review at other venues (e.g., ICLR 2024), as long as this does not violate the dual-submission / anonymity policy of the other venue.
- The review process will be double-blind.
- We will announce the best paper award at the workshop!