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arXiv:2602.12921v1 Announce Type: new Abstract: Figurative language understanding remains a significant challenge for Large Language Models (LLMs), especially for low-resource languages. To address this, we …
arXiv:2602.12937v1 Announce Type: new Abstract: Being modeled as a single-label classification task for a long time, recent work has argued that Arabic Dialect Identification (ADI) …
arXiv:2602.12966v1 Announce Type: new Abstract: Understanding how and why large language models (LLMs) fail is becoming a central challenge as models rapidly evolve and static …
arXiv:2602.12989v1 Announce Type: new Abstract: Keyphrases which are useful in several NLP and IR applications are either extracted from text or predicted by generative models. …
arXiv:2602.12996v1 Announce Type: new Abstract: Knowledge augmentation has significantly enhanced the performance of Large Language Models (LLMs) in knowledge-intensive tasks. However, existing methods typically operate …
arXiv:2602.13047v1 Announce Type: new Abstract: Conversational speech often reveals early signs of cognitive decline, such as dementia and MCI. In the UK, one in four …
arXiv:2602.13059v1 Announce Type: new Abstract: Question answering (QA) over structured tables requires not only accurate answers but also transparency about which cells support them. Existing …
arXiv:2602.13084v1 Announce Type: new Abstract: Competency modeling is widely used in human resource management to select, develop, and evaluate talent. However, traditional expert-driven approaches rely …
arXiv:2602.13102v1 Announce Type: new Abstract: Using NLP to analyze authentic learner language helps to build automated assessment and feedback tools. It also offers new and …
arXiv:2602.13110v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as judges to replace costly human preference labels in pairwise evaluation. Despite their …
arXiv:2602.13123v1 Announce Type: new Abstract: Living languages are shaped by a host of conflicting internal and external evolutionary pressures. While some of these pressures are …
arXiv:2602.13139v1 Announce Type: new Abstract: Language identification (LID) is an essential step in building high-quality multilingual datasets from web data. Existing LID tools (such as …