| Neural text generation with unlikelihood training S Welleck, I Kulikov, S Roller, E Dinan, K Cho, J Weston arXiv preprint arXiv:1908.04319, 2019 | 567 | 2019 |
| Don't say that! making inconsistent dialogue unlikely with unlikelihood training M Li, S Roller, I Kulikov, S Welleck, YL Boureau, K Cho, J Weston arXiv preprint arXiv:1911.03860, 2019 | 204 | 2019 |
| Importance of search and evaluation strategies in neural dialogue modeling I Kulikov, AH Miller, K Cho, J Weston arXiv preprint arXiv:1811.00907, 2018 | 124* | 2018 |
| SeamlessM4T-Massively Multilingual & Multimodal Machine Translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, PA Duquenne, ... arXiv preprint arXiv:2308.11596, 2023 | 90 | 2023 |
| Seamless: Multilingual Expressive and Streaming Speech Translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, M Duppenthaler, ... arXiv preprint arXiv:2312.05187, 2023 | 86 | 2023 |
| RETURNN: The RWTH extensible training framework for universal recurrent neural networks P Doetsch, A Zeyer, P Voigtlaender, I Kulikov, R Schlüter, H Ney 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 82 | 2017 |
| Consistency of a recurrent language model with respect to incomplete decoding S Welleck, I Kulikov, J Kim, RY Pang, K Cho arXiv preprint arXiv:2002.02492, 2020 | 77 | 2020 |
| The RWTH/UPB/FORTH system combination for the 4th CHiME challenge evaluation T Menne Deutsche Nationalbibliothek, 2016 | 53 | 2016 |
| Optimization of memory operations in generalized search trees of PostgreSQL A Borodin, S Mirvoda, I Kulikov, S Porshnev Beyond Databases, Architectures and Structures. Towards Efficient Solutions …, 2017 | 47 | 2017 |
| Unity: Two-pass direct speech-to-speech translation with discrete units H Inaguma, S Popuri, I Kulikov, PJ Chen, C Wang, YA Chung, Y Tang, ... arXiv preprint arXiv:2212.08055, 2022 | 42 | 2022 |
| Self-taught evaluators T Wang, I Kulikov, O Golovneva, P Yu, W Yuan, J Dwivedi-Yu, RY Pang, ... arXiv preprint arXiv:2408.02666, 2024 | 26 | 2024 |
| Multi-resolution HuBERT: Multi-resolution speech self-supervised learning with masked unit prediction J Shi, H Inaguma, X Ma, I Kulikov, A Sun arXiv preprint arXiv:2310.02720, 2023 | 21 | 2023 |
| Distilling system 2 into system 1 P Yu, J Xu, J Weston, I Kulikov arXiv preprint arXiv:2407.06023, 2024 | 18 | 2024 |
| Simple and effective unsupervised speech translation C Wang, H Inaguma, PJ Chen, I Kulikov, Y Tang, WN Hsu, M Auli, J Pino arXiv preprint arXiv:2210.10191, 2022 | 16 | 2022 |
| Vehicle communication strategies for simulated highway driving C Resnick, I Kulikov, K Cho, J Weston arXiv preprint arXiv:1804.07178, 2018 | 15* | 2018 |
| Improving speech-to-speech translation through unlabeled text XP Nguyen, S Popuri, C Wang, Y Tang, I Kulikov, H Gong ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 10 | 2023 |
| Uncertainty determines the adequacy of the mode and the tractability of decoding in sequence-to-sequence models F Stahlberg, I Kulikov, S Kumar arXiv preprint arXiv:2204.00471, 2022 | 10 | 2022 |
| From decoding to meta-generation: Inference-time algorithms for large language models S Welleck, A Bertsch, M Finlayson, H Schoelkopf, A Xie, G Neubig, ... arXiv preprint arXiv:2406.16838, 2024 | 9 | 2024 |
| Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling I Kulikov, M Eremeev, K Cho arXiv preprint arXiv:2112.08914, 2021 | 6 | 2021 |
| Multi-turn beam search for neural dialogue modeling I Kulikov, J Lee, K Cho arXiv preprint arXiv:1906.00141, 2019 | 5 | 2019 |
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
