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Zheng Xin Yong
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Conference and Workshop Papers
- 2023
- [c9]Genta Indra Winata, Alham Fikri Aji, Zheng Xin Yong, Thamar Solorio:
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges. ACL (Findings) 2023: 2936-2978 - [c8]Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Edward Raff, Dragomir Radev, Vassilina Nikoulina:
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. ACL (1) 2023: 11682-11703 - [c7]Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel:
Crosslingual Generalization through Multitask Finetuning. ACL (1) 2023: 15991-16111 - [c6]A. Seza Dogruöz, Sunayana Sitaram, Zheng Xin Yong:
Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation. EMNLP (Findings) 2023: 5751-5767 - 2022
- [c5]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) 2022: 93-104 - [c4]Teven Le Scao, Thomas Wang, Daniel Hesslow, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy:
What Language Model to Train if You Have One Million GPU Hours? EMNLP (Findings) 2022: 765-782 - [c3]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush:
Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR 2022 - [c2]Zheng Xin Yong, Patrick D. Watson, Tiago Timponi Torrent, Oliver Czulo, Collin F. Baker:
Frame Shift Prediction. LREC 2022: 976-986 - 2020
- [c1]Zheng Xin Yong, Tiago Timponi Torrent:
Semi-supervised Deep Embedded Clustering with Anomaly Detection for Semantic Frame Induction. LREC 2020: 3509-3519
Informal and Other Publications
- 2024
- [i15]Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker:
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. CoRR abs/2402.07827 (2024) - [i14]Zheng Xin Yong, Cristina Menghini, Stephen H. Bach:
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons. CoRR abs/2402.14086 (2024) - [i13]Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson:
A Safe Harbor for AI Evaluation and Red Teaming. CoRR abs/2403.04893 (2024) - 2023
- [i12]Zheng Xin Yong, Ruochen Zhang, Jessica Zosa Forde, Skyler Wang, Samuel Cahyawijaya, Holy Lovenia, Genta Indra Winata, Lintang Sutawika, Jan Christian Blaise Cruz, Long Phan, Yin Lin Tan, Alham Fikri Aji:
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages. CoRR abs/2303.13592 (2023) - [i11]Zheng Xin Yong, Cristina Menghini, Stephen H. Bach:
Low-Resource Languages Jailbreak GPT-4. CoRR abs/2310.02446 (2023) - [i10]A. Seza Dogruöz, Sunayana Sitaram, Zheng Xin Yong:
Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation. CoRR abs/2310.20470 (2023) - 2022
- [i9]Zheng Xin Yong, Patrick D. Watson, Tiago Timponi Torrent, Oliver Czulo, Collin F. Baker:
Frame Shift Prediction. CoRR abs/2201.01837 (2022) - [i8]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. CoRR abs/2202.01279 (2022) - [i7]Zheng Xin Yong, Vassilina Nikoulina:
Adapting BigScience Multilingual Model to Unseen Languages. CoRR abs/2204.04873 (2022) - [i6]Benedict Quartey, Tuluhan Akbulut, Wasiwasi Mgonzo, Zheng Xin Yong:
An Exploration of Neural Radiance Field Scene Reconstruction: Synthetic, Real-world and Dynamic Scenes. CoRR abs/2210.12268 (2022) - [i5]Teven Le Scao, Thomas Wang, Daniel Hesslow, Lucile Saulnier, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy:
What Language Model to Train if You Have One Million GPU Hours? CoRR abs/2210.15424 (2022) - [i4]Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel:
Crosslingual Generalization through Multitask Finetuning. CoRR abs/2211.01786 (2022) - [i3]Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Dragomir Radev, Vassilina Nikoulina:
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. CoRR abs/2212.09535 (2022) - [i2]Genta Indra Winata, Alham Fikri Aji, Zheng Xin Yong, Thamar Solorio:
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges. CoRR abs/2212.09660 (2022) - 2021
- [i1]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey
, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries
, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush:
Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR abs/2110.08207 (2021)
Coauthor Index
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