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
[PDF]Performance Without Evidence: A Placebo-Controlled Audit of Medical Foundation Model Adaptation
[PDF]Steering Vision-Language-Action Models with Latent Risk-Informed Conceptors for Reliable Execution
[PDF]TriEKB-Surg: Triadic Evolutionary Knowledge Bridging for Task-Heterogeneous Federated Surgical Video Understanding
[PDF]RefRoute: Decoupling Conditioning Cost from References via Compact Residual Conditioning and Spatial Routing
[PDF]CoREL: Conditional Relative Evidence Learning for Multi-Institutional Medication Recommendation
[PDF]World Models Dream of Success: Diagnosing and Repairing Failure Insensitivity in Robot World Models
[PDF]Balancing Early Performance Sacrifices with Long-Term Gains: Scaling Learning-Rate Warmup Duration Across Training Horizons
[PDF]SCAR: Supervised, Compressed, and Aligned Representations for Memory-Augmented Vision-Language-Action Models
[PDF]BoundaryEvo: Data-Model Co-Evolution at the Capability Boundary for Long-Chain Reasoning Distillation
[PDF]XiYOLO: Energy-Aware Architecture Search for Object Detection from Sparse Hardware Measurements
1 If this project is interesting to you, reach out at [email protected].