Naman Goyal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
11
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ISCA | Scaling Llama 3 Training with Efficient Parallelism Strategies. | Weiwei Chu, Xinfeng Xie, Jiecao Yu, Jie Wang, Amar Phanishayee, Chunqiang Tang, Yuchen Hao, Jianyu Huang, Mustafa Ozdal, Jun Wang, Vedanuj Goswami, Naman Goyal, Abhishek Kadian, Andrew Gu, Chris Cai, Feng Tian, Xiaodong Wang, Min Si, Pavan Balaji, Ching-Hsiang Chu, Jongsoo Park |
| 2024 | ACL | The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. | Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa |
| 2023 | EMNLP | XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. | Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa |
| 2023 | ICLR | Don't forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure. | Daksh Idnani, Vivek Madan, Naman Goyal, David J. Schwab, Ramakrishna Vedantam |
| 2023 | ICML | Scaling Laws for Generative Mixed-Modal Language Models. | Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer |
| 2023 | ICML | Text-To-4D Dynamic Scene Generation. | Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman |
| 2022 | AMTA | How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? | Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmn |
| 2022 | EMNLP | Efficient Large Scale Language Modeling with Mixtures of Experts. | 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 |
| 2022 | EMNLP | On the Role of Bidirectionality in Language Model Pre-Training. | Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov |
| 2022 | EMNLP | Few-shot Learning with Multilingual Generative Language Models. | 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 |
| 2022 | Interspeech | XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. | 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 |
| 2022 | NAACL | Lifting the Curse of Multilinguality by Pre-training Modular Transformers. | Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe |
| 2021 | ACL | Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. | Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmn, Pascale Fung, Philipp Koehn, Mona T. Diab |
| 2021 | ACL | Multilingual Translation from Denoising Pre-Training. | Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan |
| 2021 | EACL | Recipes for Building an Open-Domain Chatbot. | Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Eric Michael Smith, Y-Lan Boureau, Jason Weston |
| 2021 | ICLR | Better Fine-Tuning by Reducing Representational Collapse. | Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta |
| 2021 | ICML | BASE Layers: Simplifying Training of Large, Sparse Models. | Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer |
| 2020 | ACL | Unsupervised Cross-lingual Representation Learning at Scale. | Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmn, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov |
| 2020 | ACL | BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. | Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer |
| 2016 | EMNLP | A Joint Model of Rhetorical Discourse Structure and Summarization. | Naman Goyal, Jacob Eisenstein |
| 2016 | GECCO | Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design. | Siamak Safarzadegan Gilan, Naman Goyal, Bistra Dilkina |
| 2016 | Mobisys | Poster: Understanding the Routine Activities of Students in Campus using Smartphone Sensors. | Sonia Soubam, Naman Goyal, Nishant Adhikari, Vinayak S. Naik |