Zobrazeno 1 - 10
of 417
pro vyhledávání: '"P. Antypas"'
Autor:
Chen, Runjin, Ju, Mingxuan, Bui, Ngoc, Antypas, Dimosthenis, Cai, Stanley, Wu, Xiaopeng, Neves, Leonardo, Wang, Zhangyang, Shah, Neil, Zhao, Tong
Generative recommendation systems, driven by large language models (LLMs), present an innovative approach to predicting user preferences by modeling items as token sequences and generating recommendations in a generative manner. A critical challenge
Externí odkaz:
http://arxiv.org/abs/2412.17171
Autor:
Boisson, Joanne, Siddique, Zara, Borkakoty, Hsuvas, Antypas, Dimosthenis, Anke, Luis Espinosa, Camacho-Collados, Jose
Extracting metaphors and analogies from free text requires high-level reasoning abilities such as abstraction and language understanding. Our study focuses on the extraction of the concepts that form metaphoric analogies in literary texts. To this en
Externí odkaz:
http://arxiv.org/abs/2412.15375
Autor:
Antypas, Dimosthenis, Sen, Indira, Perez-Almendros, Carla, Camacho-Collados, Jose, Barbieri, Francesco
The detection of sensitive content in large datasets is crucial for ensuring that shared and analysed data is free from harmful material. However, current moderation tools, such as external APIs, suffer from limitations in customisation, accuracy acr
Externí odkaz:
http://arxiv.org/abs/2411.19832
Studies of the effects of the weak interaction in atomic systems provide tests of the Standard Model of particle physics, and explore physics scenarios beyond the Standard Model. In addition, these studies can offer valuable insights into low-energy
Externí odkaz:
http://arxiv.org/abs/2411.11861
In the dynamic realm of social media, diverse topics are discussed daily, transcending linguistic boundaries. However, the complexities of understanding and categorising this content across various languages remain an important challenge with traditi
Externí odkaz:
http://arxiv.org/abs/2410.03075
Publikováno v:
Optics Letters Vol. 49, Issue 12, pp. 3348-3351 (2024)
We report on observations of coherent, sustained oscillations in the absorption of continuous-wave light at 388 nm that excites the $6S_{1/2}\rightarrow 8P_{3/2}$ transition in cesium vapor. The oscillation frequency is close to the spacing of hyperf
Externí odkaz:
http://arxiv.org/abs/2406.10736
Autor:
Myung, Junho, Lee, Nayeon, Zhou, Yi, Jin, Jiho, Putri, Rifki Afina, Antypas, Dimosthenis, Borkakoty, Hsuvas, Kim, Eunsu, Perez-Almendros, Carla, Ayele, Abinew Ali, Gutiérrez-Basulto, Víctor, Ibáñez-García, Yazmín, Lee, Hwaran, Muhammad, Shamsuddeen Hassan, Park, Kiwoong, Rzayev, Anar Sabuhi, White, Nina, Yimam, Seid Muhie, Pilehvar, Mohammad Taher, Ousidhoum, Nedjma, Camacho-Collados, Jose, Oh, Alice
Large language models (LLMs) often lack culture-specific knowledge of daily life, especially across diverse regions and non-English languages. Existing benchmarks for evaluating LLMs' cultural sensitivities are limited to a single language or collect
Externí odkaz:
http://arxiv.org/abs/2406.09948
Autor:
Antypas, Dimosthenis, Arnold, Christian, Camacho-Collados, Jose, Ousidhoum, Nedjma, Almendros, Carla Perez
Trigger points, introduced by Mau et al . [30], are rooted in theories of affective political identity and relate to deeply lying beliefs about moral expectations and social dispositions. Examining trigger points in online discussions helps understan
Externí odkaz:
http://arxiv.org/abs/2405.10213
Autor:
Antypas, Dimosthenis, Ushio, Asahi, Barbieri, Francesco, Neves, Leonardo, Rezaee, Kiamehr, Espinosa-Anke, Luis, Pei, Jiaxin, Camacho-Collados, Jose
Despite its relevance, the maturity of NLP for social media pales in comparison with general-purpose models, metrics and benchmarks. This fragmented landscape makes it hard for the community to know, for instance, given a task, which is the best perf
Externí odkaz:
http://arxiv.org/abs/2310.14757
The automatic detection of hate speech online is an active research area in NLP. Most of the studies to date are based on social media datasets that contribute to the creation of hate speech detection models trained on them. However, data creation pr
Externí odkaz:
http://arxiv.org/abs/2307.01680