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]Not Every Turn Matters: Progressive Linearized Trajectory Matching for Multimodal Dataset Distillation
[PDF]Hindsight Compacts but Does Not Repair: Rethinking On-Policy Self-Distillation in Reasoning Models
[PDF]Counterfactual Tests Reveal Limited Depth-Image Use in RGB-D VLMs: A Probing and Causal-Patching Diagnosis on Metric-Distance Queries
[PDF]Beyond the Merged Vector: Fixed-Budget Directional Memory for Data-Free Continual Model Merging
[PDF]SlashVID: Training-Free Extreme Token Compression via Select-and-Aggregate for Video Temporal Grounding
[PDF]Discovery or Memorization? A Faithful Benchmark for Real-World Business-Logic Vulnerability Discovery
[PDF]Averaged Mirror Descent and Dual Gradient Methods: Convergent Algorithms for Entropic Gromov–Wasserstein Problems
[PDF]What to Trust, What to Learn: A Grounded Learning Curriculum for Self-Evolving Large Multimodal Models
[PDF]Where to Refine and What to Recover: Disentangled Cross-modal Semantic Alignment for CT-to-PET Generation
[PDF]Spatial-Differential Guidance and Structure Anchoring for Selective Mild Motion Artifact Correction in Head CT
1 If this project is interesting to you, reach out at [email protected].