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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...
arXiv:2507.01597v1 Announce Type: cross Abstract: Temporal Knowledge Graph (TKG) is an efficient method for describing the dynamic development of facts...
arXiv:2307.02075v4 Announce Type: replace-cross Abstract: Entity alignment (EA) aims at identifying equivalent entity pairs across different knowledge graphs (KGs) that...
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