Credal Large Language Models for Semantic Commitment under Uncertainty
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New papers, breakthroughs and academic AI research
Text-Preserving Lossy Text Compression: A Study of Strategic Deletion and LLM Reconstruction
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DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations
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FedFit: Federated Fine-Tuning of LLMs via Vector-Bank Parameterization and Quantization
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Towards Optimal Policy Improvement
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Generalization in Neural Networks Through the Lens of Magnitude Potential
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A Comprehensive Review of One-Pixel Attack: Research Status, Taxonomy, Applications, Regulation Policy and Future Directions
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UnifiedAttack: Evaluating the Safety of Large Multimodal Models in Synergistic Harmful Image-Text Generation
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Langevin-Informed Transfer Learning: Replacing Target Samples by Black-Box Feedback
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SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering
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Calibrating Prediction Timeliness Through Multi-Objective Hyperparameter Optimization for Remaining Useful Life Prediction
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The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment
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