Quality follows upgrading
All Articles
arXiv:2603.04657v1 Announce Type: new Abstract: Discussions of AI in education focus predominantly on student-facing tools -- chatbots, tutors, and problem generators -- while the potential …
arXiv:2603.04678v1 Announce Type: new Abstract: Large language models are known to often exhibit inconsistent knowledge. This is particularly problematic in multilingual scenarios, where models are …
arXiv:2603.04691v1 Announce Type: new Abstract: Stopwords are words that are not very informative to the content or the meaning of a language text. Most stopwords …
arXiv:2603.04698v1 Announce Type: new Abstract: This paper evaluates data augmentation and feature enhancement techniques for hate speech detection, comparing traditional classifiers, e.g., Delta Term Frequency-Inverse …
arXiv:2603.04707v1 Announce Type: new Abstract: Online marketplaces, while revolutionizing global commerce, have inadvertently facilitated the proliferation of illicit activities, including drug trafficking, counterfeit sales, and …
arXiv:2603.04718v1 Announce Type: new Abstract: In oral arguments, judges probe attorneys with questions about the factual record, legal claims, and the strength of their arguments. …
arXiv:2603.04738v1 Announce Type: new Abstract: Instruction-following is a foundational capability of large language models (LLMs), with its improvement hinging on scalable and accurate feedback from …
arXiv:2603.04759v1 Announce Type: new Abstract: The limited context window of contemporary large language models (LLMs) remains a primary bottleneck for their broader application across diverse …
arXiv:2603.04772v1 Announce Type: new Abstract: Despite the exceptional reasoning capabilities of Multimodal Large Language Models (MLLMs), their adaptation into universal embedding models is significantly impeded …
arXiv:2603.04805v1 Announce Type: new Abstract: This paper explores the underlying principles of positional relationships and encodings within Large Language Models (LLMs) and introduces the concept …
arXiv:2603.04814v1 Announce Type: new Abstract: Persistent conversational AI systems face a choice between passing full conversation histories to a long-context large language model (LLM) and …
arXiv:2603.04820v1 Announce Type: new Abstract: Automated short-answer scoring lags other LLM applications. We meta-analyze 890 culminating results across a systematic review of LLM short-answer scoring …