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 38 篇，第 1 / 1 页

1. CVPR 2024A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
2. CVPR 2024Compositional Video Understanding with Spatiotemporal Structure-based Transformers
3. CVPR 2024GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding
4. CVPR 2024HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting
5. CVPR 2024Just Add ?! Pose Induced Video Transformers for Understanding Activities of Daily Living
6. CVPR 2024Open Vocabulary Semantic Scene Sketch Understanding
7. CVPR 2024OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
8. CVPR 2024Osprey: Pixel Understanding with Visual Instruction Tuning
9. CVPR 2024PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
10. CVPR 2024RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
11. CVPR 2024SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field
12. CVPR 2024ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
13. ICLR 2024Quadratic models for understanding catapult dynamics of neural networks
14. ICLR 2024Understanding Addition in Transformers
15. ICLR 2024Understanding Catastrophic Forgetting in Language Models via Implicit Inference
16. ICLR 2024Understanding Certified Training with Interval Bound Propagation
17. ICLR 2024Understanding In-Context Learning from Repetitions
18. ICML 2024Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
19. ICML 2024LangCell: Language-Cell Pre-training for Cell Identity Understanding
20. ICML 2024Towards a Better Theoretical Understanding of Independent Subnetwork Training
21. ICML 2024Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
22. ICML 2024Towards Understanding Inductive Bias in Transformers: A View From Infinity
23. ICML 2024Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
24. ICML 2024Understanding Diffusion Models by Feynman's Path Integral
25. ICML 2024Understanding Forgetting in Continual Learning with Linear Regression
26. ICML 2024Understanding Heterophily for Graph Neural Networks
27. ICML 2024Understanding Inter-Concept Relationships in Concept-Based Models
28. ICML 2024Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
29. ICML 2024Understanding Stochastic Natural Gradient Variational Inference
30. ICML 2024Understanding the Effects of Iterative Prompting on Truthfulness
31. ICML 2024Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
32. ICML 2024Understanding the Training Speedup from Sampling with Approximate Losses
33. NeurIPS 2024E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding
34. NeurIPS 2024FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding
35. NeurIPS 2024SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
36. NeurIPS 2024SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices
37. NeurIPS 2024Understanding Emergent Abilities of Language Models from the Loss Perspective
38. NeurIPS 2024When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models

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。