Armen Aghajanyan

基本信息

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职业迁徙

个人简介

- Developed a back-propagation (gradient descent) algorithm for static decision trees.
- Increased precision up to 3% on available datasets. Most notable increased the precision of the Bing Search algorithm by 3.20%

研究兴趣

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Enhancing Chemical-Induced Human Carcinogenic Risk Evaluation through Advanced AI Technologies

Nelly Babayan,Helga Stopper,Lusine Khondkaryan,Ani Tevosyan,Gohar Tadevosyan,Lilit Apresyan, Lusine Adunts, Zaven Navoyan

IECTO 2024no. 1 (2024): 12

引用0浏览0引用

Text Quality-Based Pruning for Efficient Training of Language Models

Vasu Sharma, Karthik Padthe,Newsha Ardalani,Kushal Tirumala,Russell Howes,Hu Xu,Po-Yao Huang,Shang-Wen Li,Armen Aghajanyan,Gargi Ghosh,Luke Zettlemoyer

CoRR (2024)

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MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Xi Victoria Lin,Akshat Shrivastava, Liang Luo,Srinivasan Iyer,Mike Lewis, Gargi Ghosh,Luke Zettlemoyer,Armen Aghajanyan

CoRR (2024)

引用0浏览0EI引用

Small Molecule Optimization with Large Language Models

Philipp Guevorguian, Menua Bedrosian, Tigran Fahradyan,Gayane Chilingaryan,Hrant Khachatrian,Armen Aghajanyan

CoRR（2024）

引用0浏览0EI引用

When Worse is Better: Navigating the Compression-Generation Tradeoff in Visual Tokenization

Vivek Ramanujan,Kushal Tirumala,Armen Aghajanyan,Luke Zettlemoyer,Ali Farhadi

arxiv（2024）

引用0浏览0引用

BARTSmiles: Generative Masked Language Models for Molecular Representations

Gayane Chilingaryan,Hovhannes Tamoyan,Ani Tevosyan,Nelly Babayan,Karen Hambardzumyan, Zaven Navoyan,Armen Aghajanyan,Hrant Khachatrian,Lusine Khondkaryan

JOURNAL OF CHEMICAL INFORMATION AND MODELINGno. 15 (2024): 5832-5843

引用0浏览0EIWOS引用

Jointly Training Large Autoregressive Multimodal Models

Emanuele Aiello,LILI YU,Yixin Nie,Armen Aghajanyan,Barlas Oguz

ICLR 2024 (2024)

引用0浏览0EI引用

D4: Improving LLM Pretraining Via Document De-Duplication and Diversification

Kushal Tirumala,Daniel Simig,Armen Aghajanyan,Ari S. Morcos

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023) (2023)

引用2浏览0EI引用

MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

LILI YU,Daniel Simig,Colin Flaherty,Armen Aghajanyan,Luke Zettlemoyer,Mike Lewis

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023)（2023）

引用65浏览0EI引用

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论文共 41 篇作者统计合作学者相似作者