Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chitale, Pranjal A."'
Towards Inducing Document-Level Abilities in Standard Multilingual Neural Machine Translation Models
Neural Machine Translation (NMT) models have traditionally used Sinusoidal Positional Embeddings (PEs), which often struggle to capture long-range dependencies and are less efficient for handling extended context or document-level translation tasks.
Externí odkaz:
http://arxiv.org/abs/2408.11382
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
Recent interest has surged in employing Large Language Models (LLMs) for machine translation (MT) via in-context learning (ICL) (Vilar et al., 2023). Most prior studies primarily focus on optimizing translation quality, with limited attention to unde
Externí odkaz:
http://arxiv.org/abs/2401.12097
Autor:
Gala, Jay, Chitale, Pranjal A., AK, Raghavan, Gumma, Varun, Doddapaneni, Sumanth, Kumar, Aswanth, Nawale, Janki, Sujatha, Anupama, Puduppully, Ratish, Raghavan, Vivek, Kumar, Pratyush, Khapra, Mitesh M., Dabre, Raj, Kunchukuttan, Anoop
India has a rich linguistic landscape with languages from 4 major language families spoken by over a billion people. 22 of these languages are listed in the Constitution of India (referred to as scheduled languages) are the focus of this work. Given
Externí odkaz:
http://arxiv.org/abs/2305.16307
Autor:
AI4Bharat, Gala, Jay, Chitale, Pranjal A., AK, Raghavan, Doddapaneni, Sumanth, Gumma, Varun, Kumar, Aswanth, Nawale, Janki, Sujatha, Anupama, Puduppully, Ratish, Raghavan, Vivek, Kumar, Pratyush, Khapra, Mitesh M., Dabre, Raj, Kunchukuttan, Anoop
India has a rich linguistic landscape with languages from 4 major language families spoken by over a billion people. 22 of these languages are listed in the Constitution of India (referred to as scheduled languages) are the focus of this work. Given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f036836f89d06ec3d1d2085d1f1557ea
http://arxiv.org/abs/2305.16307
http://arxiv.org/abs/2305.16307
Publikováno v:
In Cyber-Physical Systems 2022:55-73
Autor:
Agarwal, Basant, Ahlawat, Chanchal, Amritesh, Banerjee, Jyoti Sekhar, Bhaskar, Priyanka, Chakraborty, Arpita, Chatterjee, Avik, Chaube, Nandita, Chitale, Pranjal, Das, Abhijit, Das, Barshan, Das, Basabdatta, Gala, Jay, Gothwal, Pushpa, Guhathakurata, Soham, Harjule, Priyanka, Javeri, Yash Tejas, Jeyakumar, Vijay, Karani, Ruhina, Kekre, Kaustubh, Krishnamurthi, Rajalakshmi, Kumar, Krishan, Kundu, Souvik, Luqman, Nadeem, Malik, Ananya, Mangrulkar, Ramchandra, Nanda, Shweta, Negi, Alok, Nirmala, K., Padmanabhan, Mani, Pandya, Abhijit S., Patel, Riki, Rao, Sunita, Saha, Sayak, Sanghvi, Harshal, Sarate, Sachin G., Saxena, Sumit, Shah, Manav, Sharma, Ashish, Sharma, Bosky Dharmendra, Sharma, Neha V., Sharma, Saurabh, Sharma, Vaishnavi, Shenai, Hrishikesh, Tiwari, Vinita, Yadav, Narendra Singh
Publikováno v:
In Cyber-Physical Systems 2022:xiii-xv