Chronologic: Measuring Language Models' Ability to Represent the Past
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New papers, breakthroughs and academic AI research
Low resource cross-modal alignment using HGNN to enhance speech representation
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SoK: Formal Methods for Fact-Checking and Information Integrity
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Collapse, Not Complexity: Failure-Conditioned Decomposition Repair for End-to-End Document Parsing
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Interpretable Multi-Hypersphere Deep Anomaly Detection for Open-set Supervised Anomaly Detection
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MolSC: Leveraging Substituent Contributions to Enhance Fine-grained Molecular Understanding in LLMs
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Robot World Models Are Not Invariant to How the Actions Are Written
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PairDropGS: Paired Dropout-Induced Consistency Regularization for Sparse-View Gaussian Splatting
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Enhancing speech representation learning with cross-modal knowledge transfer with HGNN under low resource settings: the case study of Yemba
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Euston: Training Away Mathematical Sycophancy Without Losing the Mathematics
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Judging a Review by its Cover: A Reliability Analysis of LLM-based Peer Review Evaluation Metrics
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Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs
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