Armen Aghajanyan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Jointly Training Large Autoregressive Multimodal Models. | Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz |
| 2023 | ICLR | InCoder: A Generative Model for Code Infilling and Synthesis. | Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis |
| 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 | Retrieval-Augmented Multimodal Language Modeling. | Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih |
| 2022 | EMNLP | Improving Passage Retrieval with Zero-Shot Question Generation. | Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer |
| 2022 | ICLR | HTLM: Hyper-Text Pre-Training and Prompting of Language Models. | Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer |
| 2022 | NAACL | CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. | Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen |
| 2021 | ACL | Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning. | Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer |
| 2021 | EMNLP | Muppet: Massive Multi-task Representations with Pre-Finetuning. | Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta |
| 2021 | EMNLP | VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. | Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer |
| 2021 | ICLR | Better Fine-Tuning by Reducing Representational Collapse. | Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta |
| 2021 | NAACL | Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. | Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad |
| 2020 | EMNLP | Conversational Semantic Parsing. | Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta |
| 2019 | ACL | Towards Language Agnostic Universal Representations. | Armen Aghajanyan, Xia Song, Saurabh Tiwary |
| 2017 | ICLR | Charged Point Normalization: An Efficient Solution to the Saddle Point Problem. | Armen Aghajanyan |