ALoDLM: Adaptively Looped Diffusion Language Models
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New papers, breakthroughs and academic AI research
Language-Conditioned Token and Reasoning Efficiency in Large Language Models: A Paired Cross-Lingual Study Protocol
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XTurnix: Large-Scale Self-Supervised Turn Control through Two-State Binary Decisions
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Scaling 3D Visual Grounding in Abdominal CT
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LD-EnFF: Latent-Dynamics Ensemble Flow Filtering for Data Assimilation with Sparse Observations
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On architectural choices for interpretability and thermodynamic consistency in Physically Recurrent Neural Networks in the low-data regime
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Articulatory Entrainment and Coordination Complexity in Spontaneous Autistic and Non-autistic Dialogue
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VIGIL: Verifier-Informed Gated Improvement Loop for Spreadsheet Question Answering
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MOIRA: Mass-Oriented Indexing with Ragged Attention for Long-Context Decoding
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Pareto-Dominant Clarification: Post-Training Coding LLMs via PPO-Lagrangian Budget Constraints
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Beyond Masked Sparsity: SNACK Enables Truly Sparse Neural Networks on GPU
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LMBuild: Evaluating LLM Agents for Generating Buildable and Functional Structures
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