口语理解论文趋势 2023–2026
口语语义
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 189 篇被归入该主题的论文。
主要结论
- 口语理解论文从 2023 年的 40 篇增长到 2026 年的 61 篇，三年间扩大到约 1.5 倍。
- CVPR 是发口语理解论文最多的会议，2023–2026 年共 62 篇，占四个会议总量的 33%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 14 篇。
- 在「语音与音频」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的音频生成是 4.3 倍，口语理解是 1.5 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 10 | 12 | 5 | 13 | 40 |
| 2024 | 6 | 5 | 15 | 12 | 38 |
| 2025 | 14 | 7 | 10 | 19 | 50 |
| 2026 | 25 | 6 | 12 | 18 | 61 |
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 2026Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
- ICML 2026A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
- ICLR 2026Neuron-Level Analysis of Cultural Understanding in Large Language Models
- CVPR 2026Consistent Instance Field for Dynamic Scene Understanding
- NeurIPS 2025The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
- ICML 2025On Understanding Attention-Based In-Context Learning for Categorical Data
- ICLR 2025Toward Understanding In-context vs. In-weight Learning
- CVPR 2025HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics
- NeurIPS 2024SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
- ICML 2024Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
- ICLR 2024Understanding Addition in Transformers
- CVPR 2024SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field
- NeurIPS 2023ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
- ICML 2023How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
- ICLR 2023Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks
- CVPR 2023AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
- NeurIPS 2026EmbodiedObject: All-in-One Object Understanding with SLAT
- ICML 2026Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions
- ICLR 2026Towards Understanding the Shape of Representations in Protein Language Models
- CVPR 2026Lifting Unlabeled Internet-level Data for 3D Scene Understanding
全部口语理解论文
共 12 篇，第 1 / 1 页
- ICLR 2023Deconstructing Distributions: A Pointwise Framework of Learning
- ICLR 2023First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
- ICLR 2023ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
- ICLR 2023Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks
- ICLR 2023Understanding DDPM Latent Codes Through Optimal Transport
- ICLR 2023Understanding Embodied Reference with Touch-Line Transformer
- ICLR 2023Understanding new tasks through the lens of training data via exponential tilting
- ICLR 2023Understanding the Covariance Structure of Convolutional Filters
- ICLR 2023Understanding Train-Validation Split in Meta-Learning with Neural Networks
- ICLR 2023Understanding weight-magnitude hyperparameters in training binary networks
- ICLR 2023Understanding Why Generalized Reweighting Does Not Improve Over ERM
- ICLR 2023Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
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 查口语理解在 CVPR 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": "spoken-language-understanding"}
常见问题
- 2023–2026 年四大会议一共有多少篇口语理解论文？
- 共 189 篇，按年份分别是 2023 年 40 篇、2024 年 38 篇、2025 年 50 篇、2026 年 61 篇。
- NeurIPS 2026 有多少篇口语理解论文？
- NeurIPS 2026 有 25 篇口语理解论文，上一届是 14 篇。
- ICLR 2026 有多少篇口语理解论文？
- ICLR 2026 有 6 篇口语理解论文，上一届是 7 篇。
- ICML 2026 有多少篇口语理解论文？
- ICML 2026 有 12 篇口语理解论文，上一届是 10 篇。
- CVPR 2026 有多少篇口语理解论文？
- CVPR 2026 有 18 篇口语理解论文，上一届是 19 篇。
- 哪个会议的口语理解论文最多？
- CVPR，2023–2026 年共 62 篇。