Ivan Kobyzev
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs. | Abbas Ghaddar, Ivan Kobyzev, Boxing Chen, Yufei Cui |
| 2025 | EMNLP | Integral Transformer: Denoising Attention, Not Too Much Not Too Little. | Ivan Kobyzev, Abbas Ghaddar, Dingtao Hu, Boxing Chen |
| 2025 | NAACL | ReGLA: Refining Gated Linear Attention. | Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Boxing Chen, Philippe Langlais |
| 2024 | ACL | OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. | Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar Zaane, Boxing Chen |
| 2024 | ACL | Resonance RoPE: Improving Context Length Generalization of Large Language Models. | Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu |
| 2024 | EMNLP | Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity. | Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev |
| 2023 | ACL | Attribute Controlled Dialogue Prompting. | Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart |
| 2023 | ACL | LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. | Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais |
| 2023 | EACL | Do we need Label Regularization to Fine-tune Pre-trained Language Models? | Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi |
| 2023 | EACL | DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. | Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi |
| 2023 | EMNLP | Efficient Classification of Long Documents via State-Space Models. | Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev |
| 2022 | EMNLP | Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. | Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi |
| 2022 | EMNLP | Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. | Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais |
| 2022 | UAI | Learning functions on multiple sets using multi-set transformers. | Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart |
| 2021 | EACL | Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation. | Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova |
| 2020 | ICML | Tails of Lipschitz Triangular Flows. | Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus A. Brubaker |