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ORCIDArmen Aghajanyan
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2020 – today
- 2024
[j1]Gayane Chilingaryan, Hovhannes Tamoyan, Ani Tevosyan, Nelly Babayan, Karen Hambardzumyan, Zaven Navoyan, Armen Aghajanyan, Hrant Khachatrian, Lusine Khondkaryan
:
BartSmiles: Generative Masked Language Models for Molecular Representations. J. Chem. Inf. Model. 64(15): 5832-5843 (2024)- [c21]Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz:
Jointly Training Large Autoregressive Multimodal Models. ICLR 2024 - [i30]Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Shang-Wen Li, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer:
Text Quality-Based Pruning for Efficient Training of Language Models. CoRR abs/2405.01582 (2024) - [i29]Philipp Guevorguian, Menua Bedrosian, Tigran Fahradyan, Gayane Chilingaryan, Hrant Khachatrian, Armen Aghajanyan:
Small Molecule Optimization with Large Language Models. CoRR abs/2407.18897 (2024) - [i28]Xi Victoria Lin, Akshat Shrivastava, Liang Luo, Srinivasan Iyer, Mike Lewis, Gargi Ghosh, Luke Zettlemoyer, Armen Aghajanyan:
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts. CoRR abs/2407.21770 (2024) - 2023
- [c20]Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis:
InCoder: A Generative Model for Code Infilling and Synthesis. ICLR 2023 - [c19]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 - [c18]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih:
Retrieval-Augmented Multimodal Language Modeling. ICML 2023: 39755-39769 - [c17]Kushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari Morcos:
D4: Improving LLM Pretraining via Document De-Duplication and Diversification. NeurIPS 2023 - [c16]Lili Yu, Daniel Simig, Colin Flaherty, Armen Aghajanyan, Luke Zettlemoyer, Mike Lewis:
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers. NeurIPS 2023 - [i27]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) - [i26]Lili Yu, Daniel Simig, Colin Flaherty, Armen Aghajanyan, Luke Zettlemoyer, Mike Lewis:
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers. CoRR abs/2305.07185 (2023) - [i25]Kushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari S. Morcos:
D4: Improving LLM Pretraining via Document De-Duplication and Diversification. CoRR abs/2308.12284 (2023) - [i24]Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan:
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR abs/2309.02591 (2023) - [i23]Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz:
Jointly Training Large Autoregressive Multimodal Models. CoRR abs/2309.15564 (2023) - [i22]Peifang Wang, Olga Golovneva, Armen Aghajanyan, Xiang Ren, Muhao Chen, Asli Celikyilmaz, Maryam Fazel-Zarandi:
DOMINO: A Dual-System for Multi-step Visual Language Reasoning. CoRR abs/2310.02804 (2023) - 2022
- [c15]Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov:
RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing. ConvAI@ACL 2022: 184-196 - [c14]Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer:
Improving Passage Retrieval with Zero-Shot Question Generation. EMNLP 2022: 3781-3797 - [c13]Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer:
HTLM: Hyper-Text Pre-Training and Prompting of Language Models. ICLR 2022 - [c12]Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen:
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. NAACL-HLT (Findings) 2022: 2402-2420 - [c11]Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, Armen Aghajanyan:
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models. NeurIPS 2022 - [i21]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) - [i20]Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis:
InCoder: A Generative Model for Code Infilling and Synthesis. CoRR abs/2204.05999 (2022) - [i19]Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer:
Improving Passage Retrieval with Zero-Shot Question Generation. CoRR abs/2204.07496 (2022) - [i18]Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, Armen Aghajanyan:
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models. CoRR abs/2205.10770 (2022) - [i17]Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
Retrieval-Augmented Multimodal Language Modeling. CoRR abs/2211.12561 (2022) - [i16]Gayane Chilingaryan, Hovhannes Tamoyan, Ani Tevosyan, Nelly Babayan, Lusine Khondkaryan, Karen Hambardzumyan, Zaven Navoyan, Hrant Khachatrian, Armen Aghajanyan:
BARTSmiles: Generative Masked Language Models for Molecular Representations. CoRR abs/2211.16349 (2022) - 2021
- [c10]Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer:
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning. ACL/IJCNLP (1) 2021: 7319-7328 - [c9]Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta:
Muppet: Massive Multi-task Representations with Pre-Finetuning. EMNLP (1) 2021: 5799-5811 - [c8]Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer:
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. EMNLP (1) 2021: 6787-6800 - [c7]Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. ICLR 2021 - [c6]Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad:
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. NAACL-HLT 2021: 2969-2978 - [i15]Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta:
Muppet: Massive Multi-task Representations with Pre-Finetuning. CoRR abs/2101.11038 (2021) - [i14]Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad:
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog. CoRR abs/2104.04923 (2021) - [i13]Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer:
HTLM: Hyper-Text Pre-Training and Prompting of Language Models. CoRR abs/2107.06955 (2021) - [i12]Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov:
RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing. CoRR abs/2109.10410 (2021) - [i11]Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer:
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. CoRR abs/2109.14084 (2021) - [i10]Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Wen-tau Yih, Sonal Gupta, Xilun Chen:
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. CoRR abs/2110.07731 (2021) - 2020
- [c5]Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta:
Conversational Semantic Parsing. EMNLP (1) 2020: 5026-5035 - [c4]Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer:
Pre-training via Paraphrasing. NeurIPS 2020 - [i9]Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida I. Wang, Luke Zettlemoyer:
Pre-training via Paraphrasing. CoRR abs/2006.15020 (2020) - [i8]Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta:
Better Fine-Tuning by Reducing Representational Collapse. CoRR abs/2008.03156 (2020) - [i7]Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta:
Conversational Semantic Parsing. CoRR abs/2009.13655 (2020) - [i6]Armen Aghajanyan, Luke Zettlemoyer, Sonal Gupta:
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning. CoRR abs/2012.13255 (2020)
2010 – 2019
- 2019
- [c3]Armen Aghajanyan, Xia Song, Saurabh Tiwary:
Towards Language Agnostic Universal Representations. ACL (1) 2019: 4033-4041 - 2018
- [i5]Armen Aghajanyan, Xia Song, Saurabh Tiwary:
Towards Language Agnostic Universal Representations. CoRR abs/1809.08510 (2018) - 2017
- [c2]Armen Aghajanyan:
SoftTarget Regularization: An Effective Technique to Reduce Over-Fitting in Neural Networks. CYBCONF 2017: 1-5 - [c1]Armen Aghajanyan:
Charged Point Normalization: An Efficient Solution to the Saddle Point Problem. ICLR (Workshop) 2017 - [i4]Armen Aghajanyan:
Convolution Aware Initialization. CoRR abs/1702.06295 (2017) - 2016
- [i3]Armen Aghajanyan:
SoftTarget Regularization: An Effective Technique to Reduce Over-Fitting in Neural Networks. CoRR abs/1609.06693 (2016) - [i2]Armen Aghajanyan:
Charged Point Normalization: An Efficient Solution to the Saddle Point Problem. CoRR abs/1609.09522 (2016) - 2015
- [i1]Armen Aghajanyan:
Gravitational Clustering. CoRR abs/1509.01659 (2015)
Coauthor Index
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last updated on 2024-09-22 00:33 CEST by the dblp team
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