口语理解论文趋势 2023–2026

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。

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 15 篇，第 1 / 1 页

1. ICML 2024Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
2. ICML 2024LangCell: Language-Cell Pre-training for Cell Identity Understanding
3. ICML 2024Towards a Better Theoretical Understanding of Independent Subnetwork Training
4. ICML 2024Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
5. ICML 2024Towards Understanding Inductive Bias in Transformers: A View From Infinity
6. ICML 2024Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
7. ICML 2024Understanding Diffusion Models by Feynman's Path Integral
8. ICML 2024Understanding Forgetting in Continual Learning with Linear Regression
9. ICML 2024Understanding Heterophily for Graph Neural Networks
10. ICML 2024Understanding Inter-Concept Relationships in Concept-Based Models
11. ICML 2024Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
12. ICML 2024Understanding Stochastic Natural Gradient Variational Inference
13. ICML 2024Understanding the Effects of Iterative Prompting on Truthfulness
14. ICML 2024Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
15. ICML 2024Understanding the Training Speedup from Sampling with Approximate Losses

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。