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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world...
In today’s AI world, data scientists are not just focused on training and optimizing machine learning models.
Improving the reasoning capabilities of large language models (LLMs) without architectural changes is a core challenge in advancing AI alignment...
arXiv:2507.02176v1 Announce Type: cross Abstract: Modeling voice identity is challenging due to its multifaceted nature. In generative speech systems, identity...
arXiv:2412.05693v3 Announce Type: replace Abstract: Several works have developed eviction policies to remove key-value (KV) pairs from the KV cache...
arXiv:2507.02822v1 Announce Type: new Abstract: With the widespread adoption of large language models (LLMs) in practical applications, selecting an appropriate...
arXiv:2507.01923v2 Announce Type: replace Abstract: Natural language generation (NLG) is increasingly deployed in high-stakes domains, yet common intrinsic evaluation methods,...
arXiv:2503.00958v2 Announce Type: replace Abstract: We propose a new approach for the authorship attribution task that leverages the various linguistic...
arXiv:2311.08010v3 Announce Type: replace Abstract: Distantly-Supervised Named Entity Recognition (DS-NER) is widely used in real-world scenarios. It can effectively alleviate...
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