Machine Learning Researcher @ YerevaNN

With a focus on Natural Language Processing

Links

mahnerak [at] yerevann [dot] com


GitHub

Google Scholar

Semantic Scholar

Résumé

CV.pdf

Skills

Publications

<aside> 📈 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

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<aside> 🧫 **BARTSmiles: Generative Masked Language Models for Molecular Representations** Gayane Chilingaryan, Hovhannes Tamoyan, Ani Tevosyan, Nelly Babayan, Lusine Khondkaryan, Karen Hambardzumyan, Zaven Navoyan, Hrant Khachatrian, Armen Aghajanyan

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<aside> 🌀 WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan, Hrant Khachatrian and Jonathan May ACL-IJCNLP 2021

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<aside> 🉐 **YerevaNN's Systems for WMT20 Biomedical Translation Task: The Effect of Fixing Misaligned Sentence Pairs** Karen Hambardzumyan, Hovhannes Tamoyan and Hrant Khachatrian WMT @ EMNLP 2020

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<aside> 🧬 **BioRelEx 1.0: Biological Relation Extraction Benchmark** Hrant Khachatrian, Lilit Nersisyan, Karen Hambardzumyan, Tigran Galstyan, Anna Hakobyan, Arsen Arakelyan, Andrey Rzhetsky and Aram Galstyan BioNLP @ ACL 2019

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<aside> 🔍 **Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report.** Martin Mirakyan, Karen Hambardzumyan and Hrant Khachatrian. ICLR 2018 Reproducibility Challenge.

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<aside> 🚬 **Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks.** Gor Arakelyan, Karen Hambardzumyan and Hrant Khachatrian. CoNLL @ EMNLP 2018

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<aside> 🐎 **Technical Report on the CleverHans v2.1.0 Adversarial Examples Library.**

Nicolas Papernot, Fartash Faghri, Nicholas Carlini, I. Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, T. Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, W. Gierke, Y. Dong, David Berthelot, P. Hendricks, Jonas Rauber, Rujun Long and P. Mcdaniel.

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