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George Foster

43 papers · 2000–2024 · 7 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 49% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which George Foster?

5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Colin Cherry, Markus Freitag, Daniel Deutsch 21 papers · 2012–2024 · EMNLP, ACL, NAACL Hide ▲
Finding Replicable Human Evaluations via Stable Ranking Probability NAACL 2024 Prompting PaLM for Translation: Assessing Strategies and Performance ACL 2023 Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent EMNLP 2023 Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM’s Translation Capability ACL 2023 The Unreasonable Effectiveness of Few-shot Learning for Machine Translation ICML 2023 Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration EMNLP 2023 A Natural Diet: Towards Improving Naturalness of Machine Translation Output ACL 2022 Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust EMNLP 2022 Toward More Effective Human Evaluation for Machine Translation ACL 2022 Assessing Reference-Free Peer Evaluation for Machine Translation NAACL 2021 Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain EMNLP 2021 Human-Paraphrased References Improve Neural Machine Translation EMNLP 2020 Inference Strategies for Machine Translation with Conditional Masking EMNLP 2020 Re-translation versus Streaming for Simultaneous Translation ACL 2020 Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) EMNLP 2019 Reinforcement Learning based Curriculum Optimization for Neural Machine Translation NAACL 2019 Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP ACL 2018 Revisiting Character-Based Neural Machine Translation with Capacity and Compression EMNLP 2018 The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation ACL 2018 A Challenge Set Approach to Evaluating Machine Translation EMNLP 2017 Batch Tuning Strategies for Statistical Machine Translation NAACL 2012
4 papers whose co-authors appear nowhere else under this name