Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Christian Blaise"'
Autor:
Cahyawijaya, Samuel, Zhang, Ruochen, Lovenia, Holy, Cruz, Jan Christian Blaise, Gilbert, Elisa, Nomoto, Hiroki, Aji, Alham Fikri
Multilingual large language models (LLMs) have gained prominence, but concerns arise regarding their reliability beyond English. This study addresses the gap in cross-lingual semantic evaluation by introducing a novel benchmark for cross-lingual sens
Externí odkaz:
http://arxiv.org/abs/2410.21573
Autor:
Winata, Genta Indra, Hudi, Frederikus, Irawan, Patrick Amadeus, Anugraha, David, Putri, Rifki Afina, Wang, Yutong, Nohejl, Adam, Prathama, Ubaidillah Ariq, Ousidhoum, Nedjma, Amriani, Afifa, Rzayev, Anar, Das, Anirban, Pramodya, Ashmari, Adila, Aulia, Wilie, Bryan, Mawalim, Candy Olivia, Cheng, Ching Lam, Abolade, Daud, Chersoni, Emmanuele, Santus, Enrico, Ikhwantri, Fariz, Kuwanto, Garry, Zhao, Hanyang, Wibowo, Haryo Akbarianto, Lovenia, Holy, Cruz, Jan Christian Blaise, Putra, Jan Wira Gotama, Myung, Junho, Susanto, Lucky, Machin, Maria Angelica Riera, Zhukova, Marina, Anugraha, Michael, Adilazuarda, Muhammad Farid, Santosa, Natasha, Limkonchotiwat, Peerat, Dabre, Raj, Audino, Rio Alexander, Cahyawijaya, Samuel, Zhang, Shi-Xiong, Salim, Stephanie Yulia, Zhou, Yi, Gui, Yinxuan, Adelani, David Ifeoluwa, Lee, En-Shiun Annie, Okada, Shogo, Purwarianti, Ayu, Aji, Alham Fikri, Watanabe, Taro, Wijaya, Derry Tanti, Oh, Alice, Ngo, Chong-Wah
Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate their understanding of such knowledge, we introduce WorldCuisines, a mas
Externí odkaz:
http://arxiv.org/abs/2410.12705
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:
Romero, David, Lyu, Chenyang, Wibowo, Haryo Akbarianto, Lynn, Teresa, Hamed, Injy, Kishore, Aditya Nanda, Mandal, Aishik, Dragonetti, Alina, Abzaliev, Artem, Tonja, Atnafu Lambebo, Balcha, Bontu Fufa, Whitehouse, Chenxi, Salamea, Christian, Velasco, Dan John, Adelani, David Ifeoluwa, Meur, David Le, Villa-Cueva, Emilio, Koto, Fajri, Farooqui, Fauzan, Belcavello, Frederico, Batnasan, Ganzorig, Vallejo, Gisela, Caulfield, Grainne, Ivetta, Guido, Song, Haiyue, Ademtew, Henok Biadglign, Maina, Hernán, Lovenia, Holy, Azime, Israel Abebe, Cruz, Jan Christian Blaise, Gala, Jay, Geng, Jiahui, Ortiz-Barajas, Jesus-German, Baek, Jinheon, Dunstan, Jocelyn, Alemany, Laura Alonso, Nagasinghe, Kumaranage Ravindu Yasas, Benotti, Luciana, D'Haro, Luis Fernando, Viridiano, Marcelo, Estecha-Garitagoitia, Marcos, Cabrera, Maria Camila Buitrago, Rodríguez-Cantelar, Mario, Jouitteau, Mélanie, Mihaylov, Mihail, Imam, Mohamed Fazli Mohamed, Adilazuarda, Muhammad Farid, Gochoo, Munkhjargal, Otgonbold, Munkh-Erdene, Etori, Naome, Niyomugisha, Olivier, Silva, Paula Mónica, Chitale, Pranjal, Dabre, Raj, Chevi, Rendi, Zhang, Ruochen, Diandaru, Ryandito, Cahyawijaya, Samuel, Góngora, Santiago, Jeong, Soyeong, Purkayastha, Sukannya, Kuribayashi, Tatsuki, Clifford, Teresa, Jayakumar, Thanmay, Torrent, Tiago Timponi, Ehsan, Toqeer, Araujo, Vladimir, Kementchedjhieva, Yova, Burzo, Zara, Lim, Zheng Wei, Yong, Zheng Xin, Ignat, Oana, Nwatu, Joan, Mihalcea, Rada, Solorio, Thamar, Aji, Alham Fikri
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge present in both visual and textual data. However, most of the current VQA
Externí odkaz:
http://arxiv.org/abs/2406.05967
Autor:
Cruz, Jan Christian Blaise
In this paper, we describe the constrained MT systems submitted by Samsung R&D Institute Philippines to the WMT 2023 General Translation Task for two directions: en$\rightarrow$he and he$\rightarrow$en. Our systems comprise of Transformer-based seque
Externí odkaz:
http://arxiv.org/abs/2310.16322
Autor:
Zhang, Ruochen, Cahyawijaya, Samuel, Cruz, Jan Christian Blaise, Winata, Genta Indra, Aji, Alham Fikri
Multilingual Large Language Models (LLMs) have recently shown great capabilities in a wide range of tasks, exhibiting state-of-the-art performance through zero-shot or few-shot prompting methods. While there have been extensive studies on their abili
Externí odkaz:
http://arxiv.org/abs/2305.14235
Autor:
Yong, Zheng-Xin, Zhang, Ruochen, Forde, Jessica Zosa, Wang, Skyler, Subramonian, Arjun, Lovenia, Holy, Cahyawijaya, Samuel, Winata, Genta Indra, Sutawika, Lintang, Cruz, Jan Christian Blaise, Tan, Yin Lin, Phan, Long, Garcia, Rowena, Solorio, Thamar, Aji, Alham Fikri
While code-mixing is a common linguistic practice in many parts of the world, collecting high-quality and low-cost code-mixed data remains a challenge for natural language processing (NLP) research. The recent proliferation of Large Language Models (
Externí odkaz:
http://arxiv.org/abs/2303.13592
Autor:
Regina Teresa Rosim Monteiro, Gabriela H. Silva, Tamara G. Messias, Sonia C. N. Queiroz, Marcia Regina Assalin, Debora Renata Cassoli, Carlos Henrique Rocha Alves, Antonio Carlos Ferreira, Christian Blaise
Publikováno v:
Revista Ambiente & Água, Vol 9, Iss 1, Pp 6-18 (2014)
Physicochemical and ecotoxicological measurements were employed to appraise the water quality of the Corumbataí River raw water (RW) intake, and that of its filtered (FW) and treated (TW) waters, processed by the Water Treatment Plant (WTP) of Pirac
Externí odkaz:
https://doaj.org/article/5966586522f24539a5c6b9a35651413f
Autor:
Jean François Férard, Karen F. Burga Pérez, Christian Blaise, Alexandre Péry, Pakawadee Sutthivaiyakit, François Gagné
Publikováno v:
Journal of Xenobiotics, Vol 5, Iss 1 (2015)
The ecotoxic potential of seven Moselle river watershed sediments was assessed with a battery of bioassays comprised of rapid phototrophic [LuminoTox solid phase (L-SPA) and elutriate (L-ELU) assays] and bacterial [Microtox solid phase assay (M-SPA)]
Externí odkaz:
https://doaj.org/article/167ef4a63c874619ac6c4beaa5ae38b0
Autor:
Velasco, Dan John, Alba, Axel, Pelagio, Trisha Gail, Ramirez, Bryce Anthony, Chua, Unisse, Samson, Briane Paul, Cruz, Jan Christian Blaise, Cheng, Charibeth
Wordnets are indispensable tools for various natural language processing applications. Unfortunately, wordnets get outdated, and producing or updating wordnets can be slow and costly in terms of time and resources. This problem intensifies for low-re
Externí odkaz:
http://arxiv.org/abs/2204.03251