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
- West Virginia University
- Technical University of Munich
- University of Moratuwa
- University of Pennsylvania
- Industrial University of Santander
- Mohamed bin Zayed University of Artificial Intelligence
- Shanghai Jiao Tong University
- Georgia Institute of Technology
- The Chinese University of Hong Kong
- University of California, Santa Barbara
- École Polytechnique Fédérale de Lausanne
- Birla Institute of Technology and Science, Pilani – Pilani Campus
- National Taiwan University
- Virginia Tech
- Polytechnique Montréal
- University of Tübingen
- Uppsala University
- École Polytechnique
- ELLIS Institute Tübingen
- 北京大学
- Indian Institute of Technology Kharagpur
- Harvard University
- Indian Institute of Technology Dhanbad
- Pohang University of Science and Technology
- Massachusetts Institute of Technology
- Mila
- ETH Zurich
- Amazon
- University of Delaware
- United International University
- Aalto University
- Indian Institute of Technology Delhi
- INHA University
- University of Maryland, College Park
- Los Alamos National Laboratory
- Roche
- New York University
- Ludwig-Maximilians-Universität München
- Johannes Kepler University of Linz
- Delhi Technological University
- University of Southern California
- University of Illinois Urbana-Champaign
- Emory University
- University of Surrey
- University of California, Los Angeles
- Korea Advanced Institute of Science and Technology
- University of California, Irvine
[PDF]TRACE: Task-conditioned Retrieval and Aggregation with Token-Budgeted Compilation for Executable Skill Programs in LLM Agents
[PDF]State-Grounded Credit Assignment for Dual-Control Tool Agents: Separating Progress from Attribution
[PDF]Structured Counterfactual Contrast for Compositional Text-to-Image Generation: A Pilot Study of Prompt Negation and Candidate Reranking
[PDF]You Only Forward Once: Rethinking Video Temporal Grounding in MLLMs as Single-Pass Parallel Boundary Probability Prediction
[PDF]Discrete Forcing: Infusing Discrete Guidance into Continuous Denoising for Few-Step Action Experts
[PDF]Fractal Signature Is a Property of the Generator, Not the Document: Split-Half Reliability Bounds for Scaling-Exponent AI-Text Detectors
[PDF]Operator-Space Federated Learning with Diffusion-Based Neural Operators for Heterogeneous Multimodal Sensing
[PDF]R-MESD: Riemannian Multi Expert Learning for Structural-Semantic Decoupling in Text-Attributed Graphs
1 If this project is interesting to you, reach out at [email protected].