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2020 – today
- 2024
[c29]Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa:
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. ACL (1) 2024: 749-775- 2023
- [c28]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. EMNLP 2023: 13142-13152 - [c27]Daksh Idnani, Vivek Madan, Naman Goyal, David J. Schwab, Ramakrishna Vedantam:
Don't forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure. ICLR 2023 - [c26]Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer:
Scaling Laws for Generative Mixed-Modal Language Models. ICML 2023: 265-279 - [c25]Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman:
Text-To-4D Dynamic Scene Generation. ICML 2023: 31915-31929 - [i35]Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer:
Scaling Laws for Generative Mixed-Modal Language Models. CoRR abs/2301.03728 (2023) - [i34]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. CoRR abs/2301.10472 (2023) - [i33]Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman:
Text-To-4D Dynamic Scene Generation. CoRR abs/2301.11280 (2023) - [i32]Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample:
LLaMA: Open and Efficient Foundation Language Models. CoRR abs/2302.13971 (2023) - [i31]Igor Molybog, Peter Albert, Moya Chen, Zachary DeVito, David Esiobu, Naman Goyal, Punit Singh Koura, Sharan Narang, Andrew Poulton, Ruan Silva, Binh Tang, Diana Liskovich, Puxin Xu, Yuchen Zhang, Melanie Kambadur, Stephen Roller, Susan Zhang:
A Theory on Adam Instability in Large-Scale Machine Learning. CoRR abs/2304.09871 (2023) - [i30]Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - [i29]Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa:
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. CoRR abs/2308.16884 (2023) - 2022
- [j4]Nicola De Cao
, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni:
Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics 10: 274-290 (2022) - [j3]Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc'Aurelio Ranzato, Francisco Guzmán, Angela Fan:
The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation. Trans. Assoc. Comput. Linguistics 10: 522-538 (2022) - [c24]Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmán:
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? AMTA 2022: 97-116 - [c23]Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov:
On the Role of Bidirectionality in Language Model Pre-Training. EMNLP (Findings) 2022: 3973-3985 - [c22]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Generative Language Models. EMNLP 2022: 9019-9052 - [c21]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP 2022: 11699-11732 - [c20]Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. INTERSPEECH 2022: 2278-2282 - [c19]Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe:
Lifting the Curse of Multilinguality by Pre-training Modular Transformers. NAACL-HLT 2022: 3479-3495 - [i28]Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer:
CM3: A Causal Masked Multimodal Model of the Internet. CoRR abs/2201.07520 (2022) - [i27]Naman Goyal, David Steiner:
Graph Neural Networks for Image Classification and Reinforcement Learning using Graph representations. CoRR abs/2203.03457 (2022) - [i26]Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmán:
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? CoRR abs/2204.14268 (2022) - [i25]Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer:
OPT: Open Pre-trained Transformer Language Models. CoRR abs/2205.01068 (2022) - [i24]Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe:
Lifting the Curse of Multilinguality by Pre-training Modular Transformers. CoRR abs/2205.06266 (2022) - [i23]Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Ves Stoyanov:
On the Role of Bidirectionality in Language Model Pre-Training. CoRR abs/2205.11726 (2022) - [i22]Kurt Shuster, Jing Xu, Mojtaba Komeili, Da Ju, Eric Michael Smith, Stephen Roller, Megan Ung, Moya Chen, Kushal Arora, Joshua Lane, Morteza Behrooz, William Ngan, Spencer Poff, Naman Goyal, Arthur Szlam, Y-Lan Boureau, Melanie Kambadur, Jason Weston:
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage. CoRR abs/2208.03188 (2022) - [i21]Naman Goyal:
A survey on Self Supervised learning approaches for improving Multimodal representation learning. CoRR abs/2210.11024 (2022) - 2021
- [j2]Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Michael Auli, Armand Joulin:
Beyond English-Centric Multilingual Machine Translation. J. Mach. Learn. Res. 22: 107:1-107:48 (2021) - [c18]Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab:
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. ACL/IJCNLP (1) 2021: 802-812 - [c17]Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan:
Multilingual Translation from Denoising Pre-Training. ACL/IJCNLP (Findings) 2021: 3450-3466 - [c16]Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Eric Michael Smith, Y-Lan Boureau, Jason Weston:
Recipes for Building an Open-Domain Chatbot. EACL 2021: 300-325 - [c15]Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. ICLR 2021 - [c14]Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer:
BASE Layers: Simplifying Training of Large, Sparse Models. ICML 2021: 6265-6274 - [c13]Yun Tang, Hongyu Gong, Xian Li, Changhan Wang, Juan Miguel Pino, Holger Schwenk, Naman Goyal:
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task. IWSLT 2021: 131-137 - [c12]Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau:
Larger-Scale Transformers for Multilingual Masked Language Modeling. RepL4NLP@ACL-IJCNLP 2021: 29-33 - [c11]Guillaume Wenzek, Vishrav Chaudhary, Angela Fan, Sahir Gomez, Naman Goyal, Somya Jain, Douwe Kiela, Tristan Thrush, Francisco Guzmán:
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation. WMT@EMNLP 2021: 89-99 - [i20]Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni:
Multilingual Autoregressive Entity Linking. CoRR abs/2103.12528 (2021) - [i19]Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer:
BASE Layers: Simplifying Training of Large, Sparse Models. CoRR abs/2103.16716 (2021) - [i18]Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau:
Larger-Scale Transformers for Multilingual Masked Language Modeling. CoRR abs/2105.00572 (2021) - [i17]Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab:
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. CoRR abs/2105.15071 (2021) - [i16]Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc'Aurelio Ranzato, Francisco Guzmán, Angela Fan:
The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation. CoRR abs/2106.03193 (2021) - [i15]Yun Tang, Hongyu Gong, Xian Li, Changhan Wang, Juan Miguel Pino, Holger Schwenk, Naman Goyal:
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task. CoRR abs/2107.06959 (2021) - [i14]Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli:
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. CoRR abs/2111.09296 (2021) - [i13]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Language Models. CoRR abs/2112.10668 (2021) - [i12]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR abs/2112.10684 (2021) - 2020
- [j1]Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 8: 726-742 (2020) - [c10]Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer:
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. ACL 2020: 7871-7880 - [c9]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. ACL 2020: 8440-8451 - [c8]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020 - [c7]Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu:
Facebook AI's WMT20 News Translation Task Submission. WMT@EMNLP 2020: 113-125 - [c6]Philipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, Naman Goyal, Peng-Jen Chen, Francisco Guzmán:
Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment. WMT@EMNLP 2020: 726-742 - [i11]Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer:
Multilingual Denoising Pre-training for Neural Machine Translation. CoRR abs/2001.08210 (2020) - [i10]Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Kurt Shuster, Eric Michael Smith, Y-Lan Boureau, Jason Weston:
Recipes for building an open-domain chatbot. CoRR abs/2004.13637 (2020) - [i9]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR abs/2005.11401 (2020) - [i8]Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan:
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning. CoRR abs/2008.00401 (2020) - [i7]Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. CoRR abs/2008.03156 (2020) - [i6]Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, Armand Joulin:
Beyond English-Centric Multilingual Machine Translation. CoRR abs/2010.11125 (2020) - [i5]Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu:
Facebook AI's WMT20 News Translation Task Submission. CoRR abs/2011.08298 (2020)
2010 – 2019
- 2019
- [i4]Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov:
RoBERTa: A Robustly Optimized BERT Pretraining Approach. CoRR abs/1907.11692 (2019) - [i3]Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer:
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. CoRR abs/1910.13461 (2019) - [i2]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. CoRR abs/1911.02116 (2019) - 2017
- [c5]Naman Goyal:
LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features. SemEval@ACL 2017: 310-314 - 2016
- [c4]Naman Goyal, Jacob Eisenstein:
A Joint Model of Rhetorical Discourse Structure and Summarization. SPNLP@EMNLP 2016: 25-34 - [c3]Siamak Safarzadegan Gilan, Naman Goyal, Bistra Dilkina:
Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design. GECCO 2016: 589-596 - [c2]Sonia Soubam, Naman Goyal, Nishant Adhikari, Vinayak S. Naik:
Poster: Understanding the Routine Activities of Students in Campus using Smartphone Sensors. MobiSys (Companion Volume) 2016: 81 - [c1]Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein:
The Social Dynamics of Language Change in Online Networks. SocInfo (1) 2016: 41-57 - [i1]Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein:
The Social Dynamics of Language Change in Online Networks. CoRR abs/1609.02075 (2016)
Coauthor Index
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