Algorithmic Recourse Under Competition
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DoGBench: Can Agents Meet Expert Standards for User-Facing Documentation?
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Interp3R: Continuous-time 3D Geometry Estimation with Frames and Events
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Rethinking Uncertainty Quantification and Entanglement in Image Segmentation
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Do Better Goal Representations Improve Goal-Conditioned Reinforcement Learning?
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EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection
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Generative sequence modeling for infinite memory processes via predictive states
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Image AID via continuous-time reinforcement learning
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MADGRAV: a multilevel anomaly-detection pipeline for gravitational-wave searches applied to LIGO data
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RAWR: Reward Assignment Without Rollouts in Verifiable Domains
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Comparative study of adapting pre-trained models for driving behavior video captioning
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How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction
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