Research map / Large language models / Language, safety and interpretability
Synchronous Interactive Decoding for Multilingual Neural Machine Translation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use synchronous interactive decoding with intra- and inter-language history and future information | SimNMT · IWSLT En-De | BLEU: 28.29 -> 28.63 | Helped |
| use synchronous interactive decoding with intra- and inter-language history and future information | SimNMT · IWSLT En-Fr | BLEU: 40.30 -> 41.41 | Helped |
| use synchronous interactive decoding with intra- and inter-language history and future information | SimNMT · IWSLT En-Zh | BLEU: 18.28 -> 18.68 | Helped |
| use synchronous interactive decoding with intra- and inter-language history and future information | SimNMT · IWSLT En-Ja | BLEU: 17.69 -> 17.18 | No clear effect |
| use ReLU fusion with λ1=0.7 and λ2=0.1 (ablation) | SimNMT · En-De/Fr average | BLEU: 35.02 | Helped |
| use Gate fusion (ablation) | SimNMT · En-De/Fr average | BLEU: 33.24 | Hurt |
Closest papers by meaning
- Decoding with Value Networks for Neural Machine Translation (NeurIPS 2017 · similarity 0.87)
- Improving Simultaneous Machine Translation with Monolingual Data (AAAI 2023 · similarity 0.87)
- EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation (AAAI 2025 · similarity 0.85)
- Calibrating Translation Decoding with Quality Estimation on LLMs (NeurIPS 2025 · similarity 0.83)
- High-Fidelity Simultaneous Speech-To-Speech Translation (ICML 2025 · similarity 0.83)
- Decoding-Time Language Model Alignment with Multiple Objectives (NeurIPS 2024 · similarity 0.83)
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