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 55 篇,第 1 / 2 页

  1. NeurIPS 2026Beyond Oversquashing: Understanding Signal Propagation in GNNs Via Observables
  2. NeurIPS 2026Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding
  3. NeurIPS 2026Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
  4. NeurIPS 2026EmbodiedObject: All-in-One Object Understanding with SLAT
  5. NeurIPS 2026Emergent Semantic Role Understanding in Language Models
  6. NeurIPS 2026Evaluating Multimodal Narrative Understanding of Popular Hollywood Films
  7. NeurIPS 2026Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures
  8. NeurIPS 2026Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering
  9. NeurIPS 2026RAVEN-Bench: A Paired EO-IR Video QA Benchmark for Aerial Multimodal Understanding
  10. NeurIPS 2026SceneScaffold: Active Scene-State Construction for Unified 3D Scene Understanding
  11. NeurIPS 2026Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
  12. NeurIPS 2026StakeBench: Evaluating Language Understanding Grounded in Market Commitment
  13. NeurIPS 2026TELEVAL: A Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarios
  14. NeurIPS 2026U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
  15. NeurIPS 2026Understanding axial attention in TSFMs through single location regression
  16. NeurIPS 2026Understanding Circulant Permutation to Extend the CMinHash Estimator
  17. NeurIPS 2026Understanding Double Descent through Universal Compression
  18. NeurIPS 2026Understanding Layer Patching in Model Size Interpolation
  19. NeurIPS 2026Understanding Sample Efficiency in Predictive Coding
  20. NeurIPS 2026Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Ups
  21. NeurIPS 2026Understanding the Convergence of Direct Training of SNNs with Surrogate Gradients
  22. NeurIPS 2026Understanding the Curse of Unrolling
  23. NeurIPS 2026Understanding the Effects of Hyper-Connections on Self-Attention Dynamics: A Bifurcation Analysis
  24. NeurIPS 2026ViMU: Benchmarking Video Metaphorical Understanding
  25. NeurIPS 2026When Safety Becomes An Outlier: Understanding the Retention of LLM Safety Behaviors
  26. NeurIPS 2025FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing
  27. NeurIPS 2025Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks
  28. NeurIPS 2025The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
  29. NeurIPS 2025Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
  30. NeurIPS 2025To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL
  31. NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product
  32. NeurIPS 2025Towards Understanding Transformers in Learning Random Walks
  33. NeurIPS 2025Understanding Adam Requires Better Rotation Dependent Assumptions
  34. NeurIPS 2025Understanding Bias Terms in Neural Representations
  35. NeurIPS 2025Understanding Differential Transformer Unchains Pretrained Self-Attentions
  36. NeurIPS 2025Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
  37. NeurIPS 2025Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
  38. NeurIPS 2025Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
  39. NeurIPS 2025Understanding while Exploring: Semantics-driven Active Mapping
  40. NeurIPS 2024E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding
  41. NeurIPS 2024FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding
  42. NeurIPS 2024SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
  43. NeurIPS 2024SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices
  44. NeurIPS 2024Understanding Emergent Abilities of Language Models from the Loss Perspective
  45. NeurIPS 2024When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models
  46. NeurIPS 2023ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
  47. NeurIPS 2023Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities
  48. NeurIPS 2023From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
  49. NeurIPS 2023InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
  50. NeurIPS 2023NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding

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"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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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