Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction-Reality Gaps
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MintEval: Do LLMs Implement the Trading Strategy You Asked For? A Behavioural-Equivalence Benchmark for Natural-Language-to-Strategy Code
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Jumping up and down: Denoiser diffusion models for discrete ordinal data
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Benchmarking Literature Retrieval for a Model Organism: A Dictyostelium Case Study
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No-Free-Graph: Learning When Multimodal Data Should Be Graphified
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Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language Models
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Rethinking What to Cache in Few-Step Diffusion Transformers: Solver-Aware Target Selection
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Credit Where It Matters: Dependency-Aware Policy Optimization for Terminal Agents
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The Fragility of Trigger-Tag Mechanisms for Misuse Detection in Open-Weight LLMs
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A Two-Stage Cascade for Near-Real-Time Forest Anomaly Detection from Sentinel-1 SAR Time Series
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A Controlled Audit of Personal AI Memory for Rating Prediction
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Predicting and Repairing Merge Collapse in Large Language Models
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