ApexQuant: Data-Free Elastic Quantization by Residual Re-Isotropization
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New papers, breakthroughs and academic AI research
Revisiting Temporal Regularization for Smooth Control in Deep Reinforcement Learning
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CoDe-LoRA: Mitigating the Orthogonality Dilemma in Continual Learning of LLMs via Knowledge Consolidation and Decoupling
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Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment
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Symphony for Text Generation: Benchmarking Clinical Note Generation
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Disentangling Paradigm, Identifier, and Decoding in Generative Retrieval
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DeltaTTT: Layerwise Optimization for Nonlinear Recurrent Memory
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DecepEval: A Benchmark for Evaluating Deception in LLM Agents
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Boosting Large Language Models with Mask Fine-Tuning
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A Systematic Study of Semantic ID Spaces for Generative Information Retrieval
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Do Higher-Order Models Win for Higher-Order Reasons? Rethinking Performance Gains in Hypergraph Learning
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FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models
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