arXiv Artificial IntelligenceAsking the Right Questions: Ontology-Grounded Interpretable Embeddings for Biomedical Text
arXiv:2603.01690v3 Announce Type: replace-cross Abstract: While dense biomedical embeddings achieve strong…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceCARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
arXiv:2603.00039v2 Announce Type: replace-cross Abstract: LLM-as-a-judge ensembles are the standard paradigm…
arXiv Artificial IntelligenceCTC-TTS: LLM-based dual-streaming text-to-speech with CTC alignment
arXiv:2602.19574v2 Announce Type: replace-cross Abstract: Large-language-model (LLM)-based text-to-speech…
arXiv Artificial IntelligenceUS-JEPA: A Joint Embedding Predictive Architecture for Ultrasound
arXiv:2602.19322v2 Announce Type: replace-cross Abstract: Ultrasound (US) imaging poses unique challenges for…
arXiv Artificial IntelligenceExplainable Token-level Noise Filtering for LLM Fine-tuning Datasets
arXiv:2602.14536v4 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have seen remarkable…
arXiv Artificial IntelligenceBETA-Labeling for Multilingual Dataset Construction in Low-Resource IR
arXiv:2602.14488v3 Announce Type: replace-cross Abstract: IR in low-resource languages remains limited by the…
arXiv Artificial IntelligenceParity, Sensitivity, and Transformers
arXiv:2602.05896v3 Announce Type: replace-cross Abstract: Understanding what neural architectures can and…
arXiv Artificial IntelligenceBoosting LLM Reasoning via Human-Inspired Reward Shaping
arXiv:2602.04265v4 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards…
arXiv Artificial IntelligenceStep-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models
arXiv:2602.02600v4 Announce Type: replace-cross Abstract: Diffusion language models (DLMs) have recently…
arXiv Artificial IntelligenceTimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs
arXiv:2602.00288v4 Announce Type: replace-cross Abstract: Fine-grained spatio-temporal understanding is…
arXiv Artificial IntelligenceCan One-Shot Test-Time Data Augmentation Help with Generalization?
arXiv:2602.00114v5 Announce Type: replace-cross Abstract: Data augmentation is crucial for model…
arXiv Artificial IntelligenceMore Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)
arXiv:2601.21522v3 Announce Type: replace-cross Abstract: The performance of large language models (LLMs) on…
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