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VityaVitalich/README.md

Viktor Moskvoretskii.

AI Researcher focusing on LLM Trustworthiness, Lexical Semantics and RL Methods. Full CV

πŸŽ“ Education

  • M.S. in Applied Mathematics and Informatics β€” HSE University, Moscow (09.2023 - 06.2025)
  • Diploma in Applied Mathematics and Informatics β€” MSU, AI Masters (09.2021 - 06.2023)
  • B.S. in Neuroscience β€” HSE University, Moscow (09.2018 - 06.2022)

πŸ’Ό Positions

  • Research Engineer β€” Skoltech (07.2023 - Present)
  • Guest Lecturer β€” HSE University (08.2023 - Present)
  • Intern Researcher β€” Machine Learning and Semantic Analysis Lab, MSU (01.2023 - 07.2023)
  • Intern Researcher β€” DeepPavlov.ai (08.2022 - 06.2023)
  • Data Scientist β€” VTB Housing Ecosystem (07.2020 - 07.2021)
  • Intern Researcher β€” HSE UX Lab (09.2019 - 03.2020)

πŸ“š Publications

For a complete list of publications, please visit:

Reach me via vvmoskvoretskii@gmail.com

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  1. TaxoLLaMA TaxoLLaMA Public

    [ACL 2024] TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks

    Python 14

  2. MeritOpt MeritOpt Public

    [EMNLP 2024] Low-Resource Machine Translation through the Lens of Personalized Federated Learning

    Python 1

  3. uhh-lt/lexical_llm uhh-lt/lexical_llm Public

    [LREC/COLING 2024] Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning

    Python

  4. IMAD IMAD Public

    [AINL 2023] IMAD: IMage Augmented multi-modal Dialogue

    Python 4

  5. GIFT_SW GIFT_SW Public

    Forked from On-Point-RND/GIFT_SW-v2-Gaussian-noise-Injected-Fine-Tuning-of-Salient-Weights-for-LLMs

    πŸ€— GIFT-SW for PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

    Python

  6. MLEM MLEM Public

    MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences

    Python 4 1