Call for Papers

Topics

We invite researchers in machine learning, artificial intelligence, and related disciplines to submit their latest work to this workshop. We invite submissions related to the theme of the workshop. Relevant topics include, but are not limited to: 

• Learning from Demonstrations (Inverse Reinforcement Learning, Imitation Learning, ...)

• Reinforcement Learning with Human Feedback (Fine-tuning LLMs, ...)

• Human-AI Alignment, AI Safety, Cooperative AI 

• Robotics (Human-AI Collaboration, ...) 

• Preference Learning, Learning to Rank (Recommendation Systems, ...)

• Computation Social Choice (Preference Aggregation, ...) 

• Operations Research (Assortment Selection, ...)

• Behavioral Economics (Bounded Rationality, ...)

• Cognitive Science (Effort in Decision-Making, ...)

Submission Instructions

Papers submitted to the workshop should be 4-8 long (not including references and appendix) and use the ICML formatting. Please change the footnote to reflect the name of the workshop: ICML 2024 Workshop on Models of Human Feedback for AI Alignment. Reviewing is double-blind. We invite the submission of ongoing unpublished work and work that is currently under review. The workshop is non-archival (there will be no proceedings), which allows for the papers to be submitted to other venues and should ensure that dual submission policies of other venues are not violated. Accepted papers will be made available on the workshop website. The program committee will also select a small number of accepted papers to be highlighted as contributed talks at the workshop. 

Submission should be uploaded as a single pdf here: OpenReview 

Camera-Ready Instructions

• The camera-ready submission is due June 25, 2024 (AOE). 

• The camera-ready version can be up to 9 pages long (not including references and appendix). 

• Just like for the submission, use the ICML formatting. Please change the footnote to reflect the name of the workshop: ICML 2024 Workshop on Models of Human Feedback for AI Alignment. This can be changed in the icml2024.sty file. 

Camera-ready versions should be uploaded as a single pdf in the submission portal: OpenReview 

Reviewer Instructions

You can access your assigned papers through OpenReview. Reviews are due June 14, 2024 (AOE). 

General information and review instructions: 

• Please be constructive in your feedback to the authors. Note that preliminary work is also submitted to the workshop and we are generally leaning towards acceptance as long as the paper does not have glaring technical flaws or ethical concerns. 

• Reviewing is double-blind.

• The submitted papers are between 4-8 pages long, which does not mean that a 8-page paper is necessarily better than a 4-page paper. 

• There will be no rebuttal phase. 

• Please pay special attention to how the paper fits within the theme of the workshop.

• If your expertise does not match perfectly with an assigned submission, please still review the submission based on your experience and broad knowledge. The PCs will take a closer look at these instances before making decisions. 

Thank you for your service in making the workshop a success! 

In case of questions, you can reach the origanizers at: mhf.icml.2024@gmail.com