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forecastingmarkets.org
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<span><strong>Prophet Markets is live!</strong> Trade forecasts on workshop questions with $50 in virtual money — top 3 forecasters win prizes →</span>
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openreview.net
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Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs
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openreview.net
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Allocation, Not Volume: Test-Time Compute for Agentic Forecasting
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openreview.net
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Forecasting Emerges from Auto-Regressive Pretraining: Latent Predictive Structure in Language Models
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openreview.net
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Forecasting Motion in the Wild
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openreview.net
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FutureSim: Replaying World Events to Evaluate Adaptive Agents
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openreview.net
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Approximate Recall, Approximate Forecasts: Recall as a Diagnostic for LLM Forecasting Errors
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openreview.net
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Beyond Accuracy: Can LLM Forecasters Profit on Prediction Markets?
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openreview.net
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Curating the Future: A Scalable Recipe for Training Open-Ended Forecasters
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openreview.net
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Decentralized Aggregation of LLM Predictions via Wagering Mechanisms
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openreview.net
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Forecast-to-Trade: Hierarchical Reinforcement Learning for Decision-Aware Financial Forecasting
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openreview.net
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ForecastBench-Sim: A Simulated-World Forecasting Benchmark
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openreview.net
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ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory
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openreview.net
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Future-as-Label: Scalable Supervision from Real-World Outcomes
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openreview.net
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Reaching the frontier of AI forecasting with reinforcement learning
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openreview.net
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When do prophets profit in prediction markets?
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openreview.net
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A Black-Box Reduction from Regret to Multi-Level Coverage
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openreview.net
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A Lightweight Deep Learning Approach to Spatiotemporal Heat Forecasting
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openreview.net
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Accurate Forecasts Do Not Ensure Safe Decision
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openreview.net
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AgentRx: A Benchmark for Multimodal Clinical Forecasting with LLM Agents
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openreview.net
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Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting
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openreview.net
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Alive and Predicting: A Live Evaluation of Multi-Step Forecasting Agents
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openreview.net
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An adversarial tournament design for efficiently probing the frontier of AI forecasting
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openreview.net
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Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis
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openreview.net
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Arbitrage-Free Forecasts from Language Models via Coherence Projection
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openreview.net
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Auditing Actionability in AI Forecasting Interfaces
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openreview.net
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Beyond Forecasting: The Belief-to-Trade Layer in Prediction-Market Agents
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openreview.net
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Decision-Relevant Predictions with Joint Scoring Rules
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openreview.net
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DELPHYNE: A Pre-Trained Model for General and Financial Time Series
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openreview.net
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Discover then Refine: A Joint Multiple Choice Learning and Flow Matching Framework for Heat Demand Forecasting
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openreview.net
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Diversity is the strength of the AI crowd
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openreview.net
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Do Language Models Update their Forecasts with New Information?
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openreview.net
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Do Time Series Foundation Model Benchmarks Hide Regime-Dependent Failures? Evidence from Traffic Speed Forecasting
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openreview.net
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DuoMamba: A Decomposition-Free State Space Model for Long-Term Time Series Forecasting
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openreview.net
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Efficient Forecasting of Task Failures in LLM Agents through Adaptive Fault Injection
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openreview.net
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Elicitation Format Drives Divergent LLM Geopolitical Forecasts
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openreview.net
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Enabling Uncertainty-Aware Time-Series Forecasting in Federated Learning for Urban Water Dynamics
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openreview.net
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Evaluating Long-Form Forecasts by Their Effect on Downstream Predictions
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openreview.net
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Forecasting Model Success at Inference Time: Calibrated Probabilistic Forecasts for Cost-Optimal LLM Cascades
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openreview.net
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Forecasting Time-Varying Correlation Matrices with Large Language Models
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openreview.net
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Forecasting With LLMs: Improved Generalization Through Feature Steering
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openreview.net
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Forecasts as a Behavioral Probe of Language Models
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openreview.net
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Foresight-Phys: A Benchmark for Forecasting the Results of Physical Experiments
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openreview.net
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ForesightFlow: An Information Leakage Score Framework for Prediction Markets
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openreview.net
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Forward-Chaining Temporal Point Process
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openreview.net
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From Events to Impacts: Calibrated Decomposition for LLM-Based Geopolitical Forecasting
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openreview.net
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From Marks to Narratives: Language-Augmented Spatio-Temporal Point Processes
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openreview.net
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From Narrative to Auditable Forecasts: An Agentic Scaffold for Probabilistic Forecasting
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openreview.net
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Generative Bayesian Computation for Probabilistic Forecasting with Discrete Events
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openreview.net
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GENERATIVE TRAFFIC FORECASTING: PRESERVING SHOCKWAVE TOPOLOGY WITH DIFFUSION MODELS
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openreview.net
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HMTMO-GP: Hierarchical Multi-Task Multi-Output Gaussian Processes
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openreview.net
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How Predictable is AI Progress?
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openreview.net
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Iterative Computation as Anytime Forecasting: Dense Supervision for Calibrated Trajectories in Recurrent World Models
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openreview.net
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Latent Market Dynamics: A World Model Framework for Agentic Prediction Markets
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openreview.net
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Latent Stochastic Interpolants for Probabilistic Time Series Forecasting
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openreview.net
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Leakage-Aware Benchmarking of LLM Forecasting: Real-Time Nowcasts as the Decision-Time Input for Macro Factor Ranking
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openreview.net
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MacroBench: Measuring Frontier LLM Macroeconomic Forecasting Ability
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openreview.net
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Measuring Source-Induced Bias in LLM Forecasts with Prediction Markets
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openreview.net
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Mix, Don’t Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining
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openreview.net
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One Token per Trade: Multi-Resolution Limit Order Book Forecasting with a Foundation Model
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openreview.net
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OptimismBench: Measuring Forecasting Bias in Language Model Judgment
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openreview.net
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Outcome-Free Audits and Repairs for LLM Forecasters
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openreview.net
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Period-Aware Inductive Bias Versus Scale on Influenza-like Illness Forecasting
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openreview.net
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Physics-Informed Bidirectional Graph Networks for Traffic Prediction: Deriving Message Passing Direction from Traffic Flow Theory
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openreview.net
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Polynomial Input Preconditioning for Zero-Shot Time Series Forecasting
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openreview.net
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Preference Optimization Drives Monoculture in LLM Prediction Markets
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openreview.net
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Presentation Robustness for LLM Forecasters
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openreview.net
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Proxy Scoring Enables Benchmarking LLM Forecasters Without Waiting for Outcomes
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openreview.net
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Quantizing Time-Series Models As Dynamical Systems: Trajectory-Based Quantization Sensitivity Score
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openreview.net
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Reflexivity as Prompt: Does Awareness of Self-Reinforcing Market Dynamics Improve LLMs as Financial Market Forecasters?
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openreview.net
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Repackaging Temporal Evidence: A Unifying Interface for Temporal Prediction
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openreview.net
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RIFT: Reliability of LLM and Physics Forecasters across Time-Horizons in Coupled PDE Systems
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openreview.net
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Robustness of Multimodal Foundation-Model Forecasting for Postoperative Cancer Outcomes
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openreview.net
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SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction
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openreview.net
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SciPaths: Forecasting Pathways to Scientific Discovery
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openreview.net
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Semantics-Enhanced Retrieval-Augmented Time Series Forecasting
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openreview.net
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Simulation-Augmented Multi-Step Split Conformal Prediction for Aggregated Forecasts
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openreview.net
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StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
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openreview.net
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Temporally Supervised Linear Probes Improve LLM Forecasts
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openreview.net
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TimeRouter: Efficient and Adaptive Routing of Time Series Foundation Models
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openreview.net
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VSTF: Vision and Sequence Models for Time-Frequency Time Series Forecasting
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openreview.net
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What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions
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openreview.net
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What Should We Forecast? Benchmarking Agents on Early Question Discovery
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openreview.net
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When Does Evidence Help Prompted LLM Forecasting? Evidence Access and Prompt Structure Across 12 Models
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openreview.net
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WorldFork: Auditable Branching Rollouts for LLM Forecasting
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openreview.net
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AI Forecasting Hackathon
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ICML 2026 poster instructions
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