Papers by Nathaniel Berger
Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits (2025.emnlp-industry)
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| Challenge: | Ambiguous terminology can make translation difficult, especially in corporate contexts. |
| Approach: | They propose to learn how to disambiguate terminology based on human post-edits . they use preference optimization to optimize for correctness using the term post-Edit . |
| Outcome: | The proposed framework improves term accuracy over a translation oriented LLM without significant losses in COMET score. |
Don’t Search for a Search Method — Simple Heuristics Suffice for Adversarial Text Attacks (2021.emnlp-main)
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| Challenge: | Recent research has focused on adversarial text attacks on neural networks for natural language processing. |
| Approach: | They implement an algorithm inspired by zeroth order optimization-based attacks and compare it with benchmark results in TextAttack. |
| Outcome: | The proposed algorithm outperforms other black-box adversarial text attacks. |