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arXiv:2404.11916v3 Announce Type: replace Abstract: Enabled by large-scale text corpora with huge parameters, pre-trained language models operate as multi-task experts...
arXiv:2508.15648v1 Announce Type: new Abstract: Large Language Models (LLMs) excel at various natural language processing tasks but remain vulnerable to...
arXiv:2508.15139v1 Announce Type: new Abstract: People often ask questions with false assumptions, a type of question that does not have...
arXiv:2506.11091v2 Announce Type: replace Abstract: Automatic speech recognition (ASR) systems have achieved strong performance on general transcription tasks. However, they...
arXiv:2508.14391v1 Announce Type: new Abstract: Relation extraction enables the construction of structured knowledge for many downstream applications. While large language...
arXiv:2508.14869v1 Announce Type: cross Abstract: Prompt engineering has rapidly emerged as a critical skill for effective interaction with large language...
arXiv:2508.14408v1 Announce Type: new Abstract: Large language models (LLMs) have been shown to possess a degree of self-recognition capability-the ability...
arXiv:2508.14548v1 Announce Type: new Abstract: While multiple emotional speech corpora exist for commonly spoken languages, there is a lack of...
arXiv:2508.13735v1 Announce Type: new Abstract: With the widespread application of electroencephalography (EEG) in neuroscience and clinical practice, efficiently retrieving and...
A long-abandoned US nuclear technology is making a comeback in China
A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment
A Human Behavioral Baseline for Collective Governance in Software Projects
A Hands-On Coding Tutorial on Qualcomm AI Hub Models for Classification, Object Detection, and Hardware-Aware Deployment
A Group Fairness Lens for Large Language Models
A Gentle Introduction to Word Embedding and Text Vectorization
A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention
A Gentle Introduction to Batch Normalization
A fundamental flaw leaves LLMs strikingly vulnerable to attack
