Ilia Kulikov

According to our database1, Ilia Kulikov authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation.
CoRR, 2024

An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis.
CoRR, 2024

2023
Seamless: Multilingual Expressive and Streaming Speech Translation.
CoRR, 2023

Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction.
CoRR, 2023

SeamlessM4T-Massively Multilingual & Multimodal Machine Translation.
CoRR, 2023

Improving Speech-to-Speech Translation Through Unlabeled Text.
Proceedings of the IEEE International Conference on Acoustics, 2023

Named Entity Detection and Injection for Direct Speech Translation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Simple and Effective Unsupervised Speech Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Characterizing and Resolving Degeneracies in Neural Autoregressive Text Generation.
PhD thesis, 2022

Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Mode recovery in neural autoregressive sequence modeling.
Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021

2020
Neural Text Generation With Unlikelihood Training.
Proceedings of the 8th International Conference on Learning Representations, 2020

Consistency of a Recurrent Language Model With Respect to Incomplete Decoding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Multi-Turn Beam Search for Neural Dialogue Modeling.
CoRR, 2019

Importance of Search and Evaluation Strategies in Neural Dialogue Modeling.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

2018
Importance of a Search Strategy in Neural Dialogue Modelling.
CoRR, 2018

Vehicle Community Strategies.
CoRR, 2018

2017
Faster sequence training.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Returnn: The RWTH extensible training framework for universal recurrent neural networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Optimization of Memory Operations in Generalized Search Trees of PostgreSQL.
Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017


  Loading...