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

每年论文数

各会议论文数

按年份和会议统计

口语理解论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023101251340
202465151238
2025147101950
2026256121861

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

全部口语理解论文

共 189 篇,第 1 / 4 页

  1. CVPR 20264D-RGPT Toward Region-level 4D Understanding via Perceptual Distillation
  2. CVPR 2026Blink Dynamic Visual Token Resolution for Enhanced Multimodal Understanding
  3. CVPR 2026Consistent Instance Field for Dynamic Scene Understanding
  4. CVPR 2026EarlyTom Early Token Compression Completes Fast Video Understanding
  5. CVPR 2026EgoSound Benchmarking Sound Understanding in Egocentric Videos
  6. CVPR 2026FPS-Bench A Benchmark for High Frame-Rate Video Understanding
  7. CVPR 2026Latent Diffusion Inversion Requires Understanding the Latent Space
  8. CVPR 2026Learning to Generate via Understanding Understanding-Driven Intrinsic Rewarding for Unified
  9. CVPR 2026Lifting Unlabeled Internet-level Data for 3D Scene Understanding
  10. CVPR 2026MA-Bench Towards Fine-grained Micro-Action Understanding
  11. CVPR 2026Mistake Attribution Fine-Grained Mistake Understanding in Egocentric Videos
  12. CVPR 2026MMLandmarks a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding
  13. CVPR 2026RISE Single Static Radar-based Indoor Scene Understanding
  14. CVPR 2026TimeRipples Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent
  15. CVPR 2026Towards Generalized Representations for Low-Light Understanding When Signal Constancy Meets
  16. CVPR 2026ViKey Enhancing Temporal Understanding in Videos via Visual Prompting
  17. CVPR 2026When Token Pruning is Worse than Random Understanding Visual Token
  18. CVPR 2026World in a Frame Understanding Culture Mixing as a New
  19. ICLR 2026MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
  20. ICLR 2026Neuron-Level Analysis of Cultural Understanding in Large Language Models
  21. ICLR 2026Towards Understanding the Shape of Representations in Protein Language Models
  22. ICLR 2026Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
  23. ICLR 2026Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding
  24. ICLR 2026Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel
  25. ICML 20263DPoV: Improving 3D understanding via Patch Ordering on Videos
  26. ICML 2026A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
  27. ICML 2026AudioChat: Unified Audio Storytelling, Editing, and Understanding with Transfusion Forcing
  28. ICML 2026CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularization
  29. ICML 2026From Denoising to De-Channeling: Integrating Physical Channel Priors into Diffusion Models for Radio Signal Understanding
  30. ICML 2026MetaphorVU: Towards Metaphorical Video Understanding
  31. ICML 2026Positive Distribution Shift as a Framework for Understanding Tractable Learning
  32. ICML 2026Toward Understanding Adversarial Distillation: Why Robust Teachers Fail
  33. ICML 2026Towards Understanding Steering Strength
  34. ICML 2026Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach
  35. ICML 2026Understanding SAM through Minimax Perspective
  36. ICML 2026Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions
  37. NeurIPS 2026Beyond Oversquashing: Understanding Signal Propagation in GNNs Via Observables
  38. NeurIPS 2026Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding
  39. NeurIPS 2026Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
  40. NeurIPS 2026EmbodiedObject: All-in-One Object Understanding with SLAT
  41. NeurIPS 2026Emergent Semantic Role Understanding in Language Models
  42. NeurIPS 2026Evaluating Multimodal Narrative Understanding of Popular Hollywood Films
  43. NeurIPS 2026Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures
  44. NeurIPS 2026Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering
  45. NeurIPS 2026RAVEN-Bench: A Paired EO-IR Video QA Benchmark for Aerial Multimodal Understanding
  46. NeurIPS 2026SceneScaffold: Active Scene-State Construction for Unified 3D Scene Understanding
  47. NeurIPS 2026Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
  48. NeurIPS 2026StakeBench: Evaluating Language Understanding Grounded in Market Commitment
  49. NeurIPS 2026TELEVAL: A Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarios
  50. NeurIPS 2026U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking

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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"}

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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。

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