acceptodds: Which papers will get accepted at ICLR 2027?
Abstract
A prediction market on peer review. Each paper has a market on its decision (accept or reject), priced by researchers who stake $rep, an in app currency, on what they expect. Everyone who signs up receives 1,000 $rep to trade with. Prices are probabilities, and every market settles when the venue publishes its decisions. It is a game made for fun, and has no connection to ICLR, OpenReview or any other organisation. acceptodds is an open source project, open to contributions, at github.com/benedict-armstrong/acceptodds.1
- ETH Zurich
- University of Maryland, College Park
- Pohang University of Science and Technology
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- Amazon
- École Polytechnique Fédérale de Lausanne
- Harvard University
- Los Alamos National Laboratory
- Mila
- Roche
- Technical University of Munich
- University of Illinois Urbana-Champaign
- University of Tübingen
- Aalto University
- Delhi Technological University
- ELLIS Institute Tübingen
- Indian Institute of Technology Delhi
- Industrial University of Santander
- INHA University
- New York University
- University of California, Irvine
- University of California, Santa Barbara
- University of Pennsylvania
- University of Southern California
- University of Surrey
- Uppsala University
- Virginia Tech
- West Virginia University
[PDF]BrowseSafe++: Benchmarking Prompt Injection Detection Across Web Contexts, Languages, and Browser Views
[PDF]SPIN: Image Immunization Against Diffusion Editing via Single-Step Projection in Stochastic Neighborhoods
[PDF]Beyond Global Symmetry: State-Conditioned Graph-Structured Partial Equivariance for Reinforcement Learning
[PDF]Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
[PDF]PopFloor: Split-Half Diagnostics for Finite-Sample Wasserstein Bias in Single-Cell Perturbation Benchmarks
[PDF]GradMix: Improving Supervised–Self-Supervised Compatibility through Attribution-Guided Feature Coverage
[PDF]Holi-Spatial 360: Generative Reconstruction from Sparse Panoramas for Spatial Rendering and Intelligence
[PDF]AlphaCUA: Scaling Safety Benchmarks for Computer-Use Agents by Discovering and Validating Risk Factors
[PDF]AlphaG-OPD: Reliability-Gated Sibling Counterfactuals for On-Policy Distillation in Symbolic Alpha Factor Discovery
1 If this project is interesting to you, reach out at [email protected].