机器翻译论文趋势 2023–2026
翻译与多语
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 153 篇被归入该主题的论文。
主要结论
- 机器翻译论文从 2023 年的 54 篇降到 2026 年的 34 篇，热度在回落。
- NeurIPS 是发机器翻译论文最多的会议，2023–2026 年共 53 篇，占四个会议总量的 35%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 9 篇。
- 在「自然语言」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的检索增强生成是 5.4 倍，机器翻译是 0.6 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 14 | 16 | 11 | 13 | 54 |
| 2024 | 12 | 15 | 2 | 4 | 33 |
| 2025 | 14 | 7 | 6 | 5 | 32 |
| 2026 | 13 | 6 | 10 | 5 | 34 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026DocPTBench: Benchmarking End-to-End Photographed Document Parsing and Translation
- ICML 2026Any2Any: Unified Arbitrary Modality Translation for Remote Sensing
- ICLR 2026Translation Heads: Unveiling Attention's Role in LLM Multilingual Translation
- CVPR 2026BoostSLT Boosting Sign Language Translation via a Plug-and-Play Diffusion-Based Semantic
- NeurIPS 2025Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
- ICML 2025Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
- ICLR 2025Improving Neural Optimal Transport via Displacement Interpolation
- CVPR 2025Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues
- NeurIPS 2024Towards Explainable Evaluation Metrics for Machine Translation
- ICML 2024Translation Equivariant Transformer Neural Processes
- ICLR 2024Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation
- CVPR 2024StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
- NeurIPS 2023Accessing Higher Dimensions for Unsupervised Word Translation
- ICML 2023Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
- ICLR 2023Efficient Federated Domain Translation
- CVPR 2023Fix the Noise: Disentangling Source Feature for Controllable Domain Translation
- NeurIPS 2026ReSCUE: Re-translation with Sentence Commitment for Unsegmented Long-Form Simultaneous Sign Language Translation
- ICML 2026Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
- ICLR 2026DiscoX: Benchmarking Discourse-Level Translation in Expert Domains
- CVPR 2026MERIT Multi-domain Efficient RAW Image Translation
全部机器翻译论文
共 11 篇，第 1 / 1 页
- ICML 2023Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
- ICML 2023GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations
- ICML 2023Kernel QuantTree
- ICML 2023Measuring the Impact of Programming Language Distribution
- ICML 2023Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think
- ICML 2023Pre-training for Speech Translation: CTC Meets Optimal Transport
- ICML 2023Prompting Large Language Model for Machine Translation: A Case Study
- ICML 2023Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
- ICML 2023Scaling Laws for Multilingual Neural Machine Translation
- ICML 2023Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation
- ICML 2023The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查机器翻译在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "machine-translation"}
常见问题
- 2023–2026 年四大会议一共有多少篇机器翻译论文？
- 共 153 篇，按年份分别是 2023 年 54 篇、2024 年 33 篇、2025 年 32 篇、2026 年 34 篇。
- NeurIPS 2026 有多少篇机器翻译论文？
- NeurIPS 2026 有 13 篇机器翻译论文，上一届是 14 篇。
- ICLR 2026 有多少篇机器翻译论文？
- ICLR 2026 有 6 篇机器翻译论文，上一届是 7 篇。
- ICML 2026 有多少篇机器翻译论文？
- ICML 2026 有 10 篇机器翻译论文，上一届是 6 篇。
- CVPR 2026 有多少篇机器翻译论文？
- CVPR 2026 有 5 篇机器翻译论文，上一届是 5 篇。
- 哪个会议的机器翻译论文最多？
- NeurIPS，2023–2026 年共 53 篇。