Zobrazeno 1 - 10
of 8 480
pro vyhledávání: '"A. Ruas"'
We show that the Nash blowup of 2-generic determinantal varieties over fields of positive characteristic is non-singular. We prove this in two steps. Firstly, we explicitly describe the toric structure of such varieties. Secondly, we show that in thi
Externí odkaz:
http://arxiv.org/abs/2409.04688
Meeting summarization has become a critical task since digital encounters have become a common practice. Large language models (LLMs) show great potential in summarization, offering enhanced coherence and context understanding compared to traditional
Externí odkaz:
http://arxiv.org/abs/2407.11919
State-of-the-art deep learning entity linking methods rely on extensive human-labelled data, which is costly to acquire. Current datasets are limited in size, leading to inadequate coverage of biomedical concepts and diminished performance when appli
Externí odkaz:
http://arxiv.org/abs/2407.06292
We present CiteAssist, a system to automate the generation of BibTeX entries for preprints, streamlining the process of bibliographic annotation. Our system extracts metadata, such as author names, titles, publication dates, and keywords, to create s
Externí odkaz:
http://arxiv.org/abs/2407.03192
We introduce the module of derivations $\Theta_{h,M}$ attached to a given analytic map $h:(\mathbb C^n,0)\to (\mathbb C^p,0)$ and a submodule $M\subseteq \mathcal O_n^p$ and analyse several exact sequences related to $\Theta_{h,M}$. Moreover, we obta
Externí odkaz:
http://arxiv.org/abs/2407.02947
Paraphrases represent a human's intuitive ability to understand expressions presented in various different ways. Current paraphrase evaluations of language models primarily use binary approaches, offering limited interpretability of specific text cha
Externí odkaz:
http://arxiv.org/abs/2407.02302
Much of the success of modern language models depends on finding a suitable prompt to instruct the model. Until now, it has been largely unknown how variations in the linguistic expression of prompts affect these models. This study systematically and
Externí odkaz:
http://arxiv.org/abs/2406.19898
Abstractive dialogue summarization is the task of distilling conversations into informative and concise summaries. Although reviews have been conducted on this topic, there is a lack of comprehensive work detailing the challenges of dialogue summariz
Externí odkaz:
http://arxiv.org/abs/2406.07494
Text generation has become more accessible than ever, and the increasing interest in these systems, especially those using large language models, has spurred an increasing number of related publications. We provide a systematic literature review comp
Externí odkaz:
http://arxiv.org/abs/2405.15604
Meeting summarization has become a critical task considering the increase in online interactions. While new techniques are introduced regularly, their evaluation uses metrics not designed to capture meeting-specific errors, undermining effective eval
Externí odkaz:
http://arxiv.org/abs/2404.11124