Ivan Kobyzev

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Text Generation

Top Venues

EMNLP (Findings)

Publications

Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar Zaïane, Boxing Chen
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. ACL (Findings) (2024)
Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu
Resonance RoPE: Improving Context Length Generalization of Large Language Models. CoRR (2024)
Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar R. Zaïane, Boxing Chen
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. CoRR (2024)
Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu
Resonance RoPE: Improving Context Length Generalization of Large Language Models. ACL (Findings) (2024)
Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen
Mathematical Challenges in Deep Learning. CoRR (2023)
Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi
DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. EACL (2023)
Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
Attribute Controlled Dialogue Prompting. ACL (Findings) (2023)
Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi
Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL (2023)
Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. ACL (Findings) (2023)
Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
Attribute Controlled Dialogue Prompting. CoRR (2023)
Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev
Efficient Classification of Long Documents via State-Space Models. EMNLP (2023)
Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. CoRR (2023)
Christophe Tribes, Sacha Benarroch-Lelong, Peng Lu, Ivan Kobyzev
Hyperparameter Optimization for Large Language Model Instruction-Tuning. CoRR (2023)
Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
Learning functions on multiple sets using multi-set transformers. UAI (2022)
Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. CoRR (2022)
Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. EMNLP (Findings) (2022)
Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
Learning Functions on Multiple Sets using Multi-Set Transformers. CoRR (2022)
Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. EMNLP (Findings) (2022)
Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. CoRR (2022)
Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart
Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models. CoRR (2022)
Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
KronA: Parameter Efficient Tuning with Kronecker Adapter. CoRR (2022)
Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. CoRR (2022)
Avishek Joey Bose, Ivan Kobyzev
Equivariant Discrete Normalizing Flows. CoRR (2021)
Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation. EACL (2021)
Ivan Kobyzev, Simon J. D. Prince, Marcus A. Brubaker
Normalizing Flows: An Introduction and Review of Current Methods. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Tianda Li, Yassir El Mesbahi, Ivan Kobyzev, Ahmad Rashid, Atif Mahmud, Nithin Anchuri, Habib Hajimolahoseini, Yang Liu, Mehdi Rezagholizadeh
A Short Study on Compressing Decoder-Based Language Models. CoRR (2021)
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart
Representation Learning for Dynamic Graphs: A Survey. J. Mach. Learn. Res. 21 (2020)
Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus Brubaker
Tails of Lipschitz Triangular Flows. ICML (2020)
Nabiha Asghar, Ivan Kobyzev, Jesse Hoey, Pascal Poupart, Muhammad Bilal Sheikh
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory. CoRR (2020)
Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation. CoRR (2020)
Ivan Kobyzev, Ilya Shapiro
A Categorical Approach to Cyclic Cohomology of Quasi-Hopf Algebras and Hopf Algebroids. Appl. Categorical Struct. 27 (1) (2019)
Priyank Jaini, Ivan Kobyzev, Marcus Brubaker, Yaoliang Yu
Tails of Triangular Flows. CoRR (2019)
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart
Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. CoRR (2019)
Ivan Kobyzev, Simon Prince, Marcus A. Brubaker
Normalizing Flows: Introduction and Ideas. CoRR (2019)