Zobrazeno 1 - 10
of 13 290
pro vyhledávání: '"Wei', Qi"'
Autor:
Singh, Shivalika, Romanou, Angelika, Fourrier, Clémentine, Adelani, David I., Ngui, Jian Gang, Vila-Suero, Daniel, Limkonchotiwat, Peerat, Marchisio, Kelly, Leong, Wei Qi, Susanto, Yosephine, Ng, Raymond, Longpre, Shayne, Ko, Wei-Yin, Smith, Madeline, Bosselut, Antoine, Oh, Alice, Martins, Andre F. T., Choshen, Leshem, Ippolito, Daphne, Ferrante, Enzo, Fadaee, Marzieh, Ermis, Beyza, Hooker, Sara
Cultural biases in multilingual datasets pose significant challenges for their effectiveness as global benchmarks. These biases stem not only from language but also from the cultural knowledge required to interpret questions, reducing the practical u
Externí odkaz:
http://arxiv.org/abs/2412.03304
Autor:
Ma, Zhongjie, Jiang, Miao, Sun, Aile, Yi, Shengzhu, Yang, Jidan, Huang, Mingjun, Aya, Satoshi, Wei, Qi-Huo
In this study, we demonstrate that when a ferroelectric nematic is confined between two glass plates coated with ionic polymers, a modulated phase emerges in a narrow temperature range between the nematic and ferroelectric nematic phases. This modula
Externí odkaz:
http://arxiv.org/abs/2411.12336
Autor:
Montalan, Jann Railey, Ngui, Jian Gang, Leong, Wei Qi, Susanto, Yosephine, Rengarajan, Hamsawardhini, Aji, Alham Fikri, Tjhi, William Chandra
Multilingual large language models (LLMs) today may not necessarily provide culturally appropriate and relevant responses to its Filipino users. We introduce Kalahi, a cultural LLM evaluation suite collaboratively created by native Filipino speakers.
Externí odkaz:
http://arxiv.org/abs/2409.15380
Autor:
Yi, Shengzhu, Hong, Zening, Ma, Zhongjie, Zhou, Chao, Jiang, Miao, Huang, Xiang, Huang, Mingjun, Aya, Satoshi, Zhang, Rui, Wei, Qi-Huo
Ferroelectric nematic liquid crystals are polar fluids characterized by microscopic orientational ordering and macroscopic spontaneous polarizations. Within these fluids, walls that separate domains of different polarizations are ubiquitous. We demon
Externí odkaz:
http://arxiv.org/abs/2406.13326
Fine-tuning vision-language models (VLMs) with abundant unlabeled data recently has attracted increasing attention. Existing methods that resort to the pseudolabeling strategy would suffer from heavily incorrect hard pseudolabels when VLMs exhibit lo
Externí odkaz:
http://arxiv.org/abs/2406.10502
Autor:
Lovenia, Holy, Mahendra, Rahmad, Akbar, Salsabil Maulana, Miranda, Lester James V., Santoso, Jennifer, Aco, Elyanah, Fadhilah, Akhdan, Mansurov, Jonibek, Imperial, Joseph Marvin, Kampman, Onno P., Moniz, Joel Ruben Antony, Habibi, Muhammad Ravi Shulthan, Hudi, Frederikus, Montalan, Railey, Ignatius, Ryan, Lopo, Joanito Agili, Nixon, William, Karlsson, Börje F., Jaya, James, Diandaru, Ryandito, Gao, Yuze, Amadeus, Patrick, Wang, Bin, Cruz, Jan Christian Blaise, Whitehouse, Chenxi, Parmonangan, Ivan Halim, Khelli, Maria, Zhang, Wenyu, Susanto, Lucky, Ryanda, Reynard Adha, Hermawan, Sonny Lazuardi, Velasco, Dan John, Kautsar, Muhammad Dehan Al, Hendria, Willy Fitra, Moslem, Yasmin, Flynn, Noah, Adilazuarda, Muhammad Farid, Li, Haochen, Lee, Johanes, Damanhuri, R., Sun, Shuo, Qorib, Muhammad Reza, Djanibekov, Amirbek, Leong, Wei Qi, Do, Quyet V., Muennighoff, Niklas, Pansuwan, Tanrada, Putra, Ilham Firdausi, Xu, Yan, Tai, Ngee Chia, Purwarianti, Ayu, Ruder, Sebastian, Tjhi, William, Limkonchotiwat, Peerat, Aji, Alham Fikri, Keh, Sedrick, Winata, Genta Indra, Zhang, Ruochen, Koto, Fajri, Yong, Zheng-Xin, Cahyawijaya, Samuel
Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1,300 indigenous languages and a population of 671 million people. However, prevailing AI models suffer from a significant lack of representation of texts,
Externí odkaz:
http://arxiv.org/abs/2406.10118
Autor:
Trakuekul, Pontakorn, Leong, Wei Qi, Polpanumas, Charin, Sawatphol, Jitkapat, Tjhi, William Chandra, Rutherford, Attapol T.
While coreference resolution is a well-established research area in Natural Language Processing (NLP), research focusing on Thai language remains limited due to the lack of large annotated corpora. In this work, we introduce ThaiCoref, a dataset for
Externí odkaz:
http://arxiv.org/abs/2406.06000
Autor:
Ma, Zhongjie, Jiang, Miao, Song, Yaohao, Sun, Aile, Yi, Shengzhu, Zhou, Chao, Huang, Xiang, Huang, Mingjun, Aya, Satoshi, Wei, Qi-Huo
Ferroelectric nematic (NF) liquid crystals present a compelling platform for exploring topological defects in polar fields, while their structural properties can be significantly altered by ionic doping. In this study, we demonstrate that doping the
Externí odkaz:
http://arxiv.org/abs/2406.00994
Multimodal contrastive learning methods (e.g., CLIP) have shown impressive zero-shot classification performance due to their strong ability to joint representation learning for visual and textual modalities. However, recent research revealed that mul
Externí odkaz:
http://arxiv.org/abs/2405.15269
Autor:
Sriwirote, Panyut, Leong, Wei Qi, Polpanumas, Charin, Thanyawong, Santhawat, Tjhi, William Chandra, Aroonmanakun, Wirote, Rutherford, Attapol T.
Automatic dependency parsing of Thai sentences has been underexplored, as evidenced by the lack of large Thai dependency treebanks with complete dependency structures and the lack of a published systematic evaluation of state-of-the-art models, espec
Externí odkaz:
http://arxiv.org/abs/2405.07586