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

ICLR 2027sort:acceptance volume activity newest

[PDF]Scenario Collapse: Measuring Scenario Local Evidence Binding in Long Context Reasoning

[PDF]A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Steering Vectors in Large Language Models

[PDF]TPA: Early Text-Embedding Perturbations for Natural Adversarial Diffusion

[PDF]Steer the Steering: Calibrating Learned Interventions in Large Language Models

[PDF]Conditional Backdoors Leave Traces in J-Space of Code-Generating Large Language Models

[PDF]Environmental Feedback Modeling Matters: Rethinking Feedback Treatment in Agentic Hindsight Self-Distillation

[PDF]When Does Symmetry Reduce Effective Rank in Zeroth-Order Optimization?

[PDF]Learning to Search and Searching to Learn: Joint Knowledge Internalization via Reinforcement Learning

[PDF]Source-MSIS: Tracing Source Errors in Interactive Agents

[PDF]Adaptive Mixture Variational Inference for Spike-and-Slab Regression

[PDF]Learning the Acoustic Background for Weak Vessel Observability through Temporal Probabilistic Deviations

[PDF]MORAD: Reinforcement Learning with Multi-Objective Rewards for RNA Inverse Design

[PDF]DeltaTTT: Layerwise Optimization for Nonlinear Recurrent Memory

[PDF]The Future Is the Test: Library Abstractions for Mathematics Not Yet Written

[PDF]Generate, Then Match: Lightweight Relevance Modeling for Generative Retrieval

[PDF]Learn What to Say: Generalizable Active Enrollment for Few-Shot Voice Personalization

[PDF]jy-crpg-bench: A Long-Horizon Benchmark for Frontier Models in an Open-World RPG

[PDF]GUI-Evolver: Scaling GUI Agents via Data–Model Co-Evolution

[PDF]TraViS: Learning Latent Visual Trajectories with Context-Adaptive Visual Targeting

[PDF]Can Video-Language Models Be Induced to Hallucinate Objects? A Study of Semantic Implantation via Feature Alignment

[PDF]Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following

[PDF]Memorisation, convergence, and generalisation in generative models for text

[PDF]Same Agent, Different Conclusion: Why Recovery-Method Evaluation Is Underspecified

[PDF]Graph Convolution with Degree-Potential and Spectral Calibration

[PDF]Beyond Rotations: AuroOFT for Expressive Quantized Orthogonal Fine-Tuning

[PDF]REALIS: A Curated Dataset for Studying the Challenges of AI Image Detection

[PDF]ORG-KV: Finding Optimal Rank and Grouping for Low Rank KV-Cache Compression

[PDF]Dynamic Depth Routing of Large Language Models with Mixture of Segment Operators

[PDF]The Construct Is Part of the Target: Rethinking Perturbation-Model Evaluation

[PDF]PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents

[PDF]Target First, Background Later: Region-Progressive Latent Compression for Satellite Image Transmission

[PDF]TRACE: TRajectory-Aware Concept Erasure for Flow Matching Models

[PDF]Highlight-Then-Summarize: Learning to Compress Evidence for Long-Context Understanding

[PDF]Missingness-Aware Conformal Prediction Under Cross-Hospital Distribution Shift

[PDF]Causal Concept Gating for End-to-End Driving: Faithful Concept Actuation Is Not Effective Concept Intervention, and Why

[PDF]UMI-WM: Interactive World Modeling for Bimanual Manipulation from Wrist Cameras

[PDF]OptRoute: Evolving Trees that Couple Skill Organization and Retrieval for LLM-Based Optimization Modeling

[PDF]PDD-Fusion: Physics-Guided Degradation-Decoupled Learning for Low-Light Infrared-Visible Image Fusion

[PDF]Stochastic Self-Distillation for Vision-Language-Action Models

[PDF]Primal-Dual Constrained Diffusion Sampling

[PDF]Learning PDE-Feasible Design Manifolds for Solver-Amortized Optimization

[PDF]RecurSE: Recursive Self-Evaluation for LLM Rubric Judges

[PDF]Learning Locality-Aware Basis Functions via Spline-Wavelet Kolmogorov-Arnold Networks for Functional Data Classification

[PDF]MEDUSA: Graph-Conditioned Flow Matching for Missing Modalities in EHRs

[PDF]PACE: Parameter Averaging with Consensus Extrapolation for Distributed Training

[PDF]Are Foundation Models Enough for Data-Scarce Functional Connectivity Diagnosis? Revisiting Task-Specific Learning with BrainLRR

[PDF]UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation

[PDF]Conditional Generation And Inpainting Of Non-coding RNA Sequences With Masked Discrete Diffusion

[PDF]Emergent foraging strategies and functional neural motifs in homeostatic Deep RL agents

[PDF]Memory Needs Control: Adaptive Memory Gate for Solving PDEs

¹ If this project is interesting to you, reach out at [email protected].