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GoogleU Southern CaliforniaU TorontoMachine translation

Attention Is All You Need

The Transformer replaces recurrence and convolutions with attention, achieving superior translation quality and faster training.

Ashish Vaswani, Noam Shazeer, Niki Jitendra Parmar, Jakob Uszkoreit and 4 more

Published Aug 23, 2025 · 26,828 citations

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18/21 AI panelreviewers recommend it

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AI panel: 18 of 21 reviewers recommend it
lenient 5/5
medium 9/11
strict 4/5
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NeurIPS 2026XiamenWechat AIWeChat AIMachine translation

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation

ReflectMT internalizes translation reflection into direct inference via two-stage reinforcement learning, outperforming multi-step reasoning models with 94% fewer tokens.

Kunquan Li, Yingxue Zhang, Zhibin Lan, Fandong Meng and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5