Ivan Provilkov

According to our database, Ivan Provilkov authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Escaping the Verifier: Learning to Reason via Demonstrations.

Locke Cai, Ivan Provilkov

CoRR, November, 2025

2021

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.

Andrey Malinin, Neil Band, Alexander Ganshin, German Chesnokov, Yarin Gal, Mark J. F. Gales, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Mariya Shmatova, Panos Tigas, Boris Yangel

CoRR, 2021

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.

Andrey Malinin, Neil Band, Yarin Gal, Mark J. F. Gales, Alexander Ganshin, German Chesnokov, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Denis Roginskiy, Mariya Shmatova, Panagiotis Tigas, Boris Yangel

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation.

Ivan Provilkov, Andrey Malinin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Regression Prior Networks.

Andrey Malinin, Sergey Chervontsev, Ivan Provilkov, Mark J. F. Gales

CoRR, 2020

BPE-Dropout: Simple and Effective Subword Regularization.

Ivan Provilkov, Dmitrii Emelianenko, Elena Voita

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020