Online Learning to Rank with List-level Feedback for Image Filtering. - Chang Li 003; Artem Grotov; Ilya Markov; Bryan Eikema; Maarten de Rijke (CoRR, 2018)

Auto-Encoding Variational Neural Machine Translation. - Bryan Eikema; Wilker Aziz (RepL4NLP@ACL, 2019)

Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation. - Bryan Eikema; Wilker Aziz (COLING, 2020)

Sampling-Based Minimum Bayes Risk Decoding for Neural Machine Translation. - Bryan Eikema; Wilker Aziz (CoRR, 2021)

Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs. - Bryan Eikema; Germán Kruszewski; Hady Elsahar; Marc Dymetman (CoRR, 2021)

Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation. - Bryan Eikema; Wilker Aziz (EMNLP, 2022)

An approximate sampler for energy-based models with divergence diagnostics. - Bryan Eikema; Germán Kruszewski; Christopher R. Dance; Hady Elsahar; Marc Dymetman (Trans. Mach. Learn. Res., 2022)

Findings of the WMT 2024 Shared Task on Chat Translation. - Wafaa Mohammed; Sweta Agrawal; M. Amin Farajian; Vera Cabarrão; Bryan Eikema; Ana C. Farinha; José Guilherme Camargo de Souza (WMT, 2024)