Layer-wise Target Propagation: Efficient Component Attribution through Target Centric Propagation
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Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward
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Attribution Bias in Large Language Models
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Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
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When to Think Fast and Slow? AMOR: Adaptive Entropy Gate for Hybrid Models
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GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
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Jagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile
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Stepwise Intrinsic Rewards for Reasoning in Large Language Models
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Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
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Preference-based opponent shaping in differentiable games
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Progressive Memory Transformer: Memory-Aware Attention for Time-Series
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Statistical attribute alignment for black-box generative AI via output post-processing
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