Zobrazeno 1 - 10
of 769
pro vyhledávání: '"Koeksal, A."'
Building high-quality datasets for specialized tasks is a time-consuming and resource-intensive process that often requires specialized domain knowledge. We propose Corpus Retrieval and Augmentation for Fine-Tuning (CRAFT), a method for generating sy
Externí odkaz:
http://arxiv.org/abs/2409.02098
Autor:
Zhao, Raoyuan, Köksal, Abdullatif, Liu, Yihong, Weissweiler, Leonie, Korhonen, Anna, Schütze, Hinrich
Traditional benchmarking in NLP typically involves using static held-out test sets. However, this approach often results in an overestimation of performance and lacks the ability to offer comprehensive, interpretable, and dynamic assessments of NLP m
Externí odkaz:
http://arxiv.org/abs/2408.17437
The anomalous magnetic ($\tilde{a}_\tau$) and electric dipole ($\tilde{d}_\tau$) moment of tau lepton described in $\tau\bar{\tau}\gamma$ vertices are studied via $\mu^{+}\mu^{-} \rightarrow \tau^+\bar{\tau}^-$ process at the Muon colliders designed
Externí odkaz:
http://arxiv.org/abs/2408.16106
Graph-based holistic scene representations facilitate surgical workflow understanding and have recently demonstrated significant success. However, this task is often hindered by the limited availability of densely annotated surgical scene data. In th
Externí odkaz:
http://arxiv.org/abs/2407.20214
Multiple choice question answering tasks evaluate the reasoning, comprehension, and mathematical abilities of Large Language Models (LLMs). While existing benchmarks employ automatic translation for multilingual evaluation, this approach is error-pro
Externí odkaz:
http://arxiv.org/abs/2407.12402
Many datasets have been developed to train and evaluate document-level relation extraction (RE) models. Most of these are constructed using real-world data. It has been shown that RE models trained on real-world data suffer from factual biases. To ev
Externí odkaz:
http://arxiv.org/abs/2407.06699
While current large language models (LLMs) demonstrate some capabilities in knowledge-intensive tasks, they are limited by relying on their parameters as an implicit storage mechanism. As a result, they struggle with infrequent knowledge and temporal
Externí odkaz:
http://arxiv.org/abs/2404.11672
We introduce, XoFTR, a cross-modal cross-view method for local feature matching between thermal infrared (TIR) and visible images. Unlike visible images, TIR images are less susceptible to adverse lighting and weather conditions but present difficult
Externí odkaz:
http://arxiv.org/abs/2404.09692
Argument Structure Constructions (ASCs) are one of the most well-studied construction groups, providing a unique opportunity to demonstrate the usefulness of Construction Grammar (CxG). For example, the caused-motion construction (CMC, ``She sneezed
Externí odkaz:
http://arxiv.org/abs/2403.06965
Autor:
Cetinkaya, V., Gutiérrez-Rodríguez, A., Köksal, M., Gurkanli, E., Ari, V., Hernández-Ruíz, M. A.
In the post-LHC era, the muon collider represents a frontier project capable of providing high-energy and high-luminosity leptonic collisions among future lepton-lepton particle accelerators. In addition, it provides significantly cleaner final state
Externí odkaz:
http://arxiv.org/abs/2312.06329