Hovhannes Tamoyan / tamohannes

Doctoral Researcher at TU Darmstadt

Primary focus on Natural Language Processing

Code Generation and Reasoning

Ex:

YerevaNN, Yerevan State University, American University of Armenia

Links

Résumé

Skills

  • Computer Science: Algorithm Design, Data Structures
  • Languages: C, Python, JavaScript
  • Machine Learning: PyTorch, TensorFlow, xFormers, FairSeq, AllenNLP, PyTorch Lightning
  • Database Systems: SQL, NoSQL, GraphQL

Research

🤔

Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling

Preprint
Hovhannes Tamoyan, Subhabrata Dutta, Iryna Gurevych
🤖

LLM Roleplay: Simulating Human-Chatbot Interaction

ACL 2025
Hovhannes Tamoyan, Hendrik Schuff, Iryna Gurevych
🎨

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Preprint
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
🧬

BARTSmiles: Generative Masked Language Models for Molecular Representations

Journal of Chemical Information and Modeling
Gayane Chilingaryan*, Hovhannes Tamoyan*, Ani Tevosyan*, Nelly Babayan, Lusine Khondkaryan, Karen Hambardzumyan, Zaven Navoyan, Hrant Khachatrian, Armen Aghajanyan
🔤

YerevaNN's Systems for WMT20 Biomedical Translation Task:The Effect of Fixing Misaligned Sentence Pairs

WMT 2020
Karen Hambardzumyan, Hovhannes Tamoyan, Hrant Khachatrian

Research Tools and Frameworks

🦁

UrarTU

ML pipeline framework with smart caching and remote execution. Chain actions into workflows, run anywhere — local machines to HPC clusters. YAML-configured with built-in experiment tracking and SLURM integration.
🗂️

OrganizeNoc

Browser extension suite for researchers, designed to manage academic papers library. Key features include metadata extraction, highlight processing, citation BibTeX export, and AI-powered querying.
🚀

Aim

Open-source experiment tracking tool, designed with flexibility for machine learning workflows. Facilitates detailed monitoring and comparison of experiments.
🐈‍⬛

tmynNLP

Natural language processing pipeline, equipped with mainstream abstractions. Supports a diverse array of NLP tasks.

Teaching

🎓

Introduction to LLMs - Lecture 📚 Notebooks

🧪

Experiment Tracking - Workshop

Explore the essentials of experiment tracking in ML research. This presentation covers the key requirements for effective tools and offers an in-depth exploration of Aim. It includes a practical demonstration where Aim is integrated into an NMT system's fine-tuning pipeline.
📘

LxMLS Guide - Summer School

Lisbon Machine Learning Summer School (LxMLS) lab guide — a TeX‑based manual with step‑by‑step setup instructions, toolkit walkthroughs, and hands‑on exercises to get students coding ML labs efficiently
🔥

PyTorch Optimization - Workshop

This session introduces various strategies, including efficient dataloader usage, parallel computation, operator fusing, and many more to enhance the speed and efficiency of your PyTorch code.
🧠

Deep Learning - Lecture 📚 Notebooks