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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Re-ranking and Late Interaction Drive Retrieval Quality: A Controlled Comparison of RAG Strategies for Scientific Question Answering
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Learning Infinite-Horizon Average-Reward CMDPs via State Augmentation
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Learning Normal Diffusion Dynamics for Backdoor Defense in Text-to-Image Models
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Security-Enhanced Seed-Based Weight Quantization for Large Language Models
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Evidence-Guided Schema Normalization for Temporal Tabular Reasoning
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Evaluating Alignment of Behavioral Dispositions in LLMs
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