Spoken Language Understanding papers, 2023–2026

Key findings

• Spoken Language Understanding went from 40 papers in 2023 to 61 in 2026, roughly 1.5x in three years.
• CVPR publishes the most Spoken Language Understanding work: 62 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 3 in 2023 to 14 in 2026.
• Among the 5 topics under Audio and Speech, it ranks #4 by 2026 paper count; the fastest grower in the group, Audio Generation, is up 4.3x versus 1.5x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Spoken Language Understanding papers

42 papers, page 1 of 1

1. ICML 20263DPoV: Improving 3D understanding via Patch Ordering on Videos
2. ICML 2026A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
3. ICML 2026AudioChat: Unified Audio Storytelling, Editing, and Understanding with Transfusion Forcing
4. ICML 2026CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularization
5. ICML 2026From Denoising to De-Channeling: Integrating Physical Channel Priors into Diffusion Models for Radio Signal Understanding
6. ICML 2026MetaphorVU: Towards Metaphorical Video Understanding
7. ICML 2026Positive Distribution Shift as a Framework for Understanding Tractable Learning
8. ICML 2026Toward Understanding Adversarial Distillation: Why Robust Teachers Fail
9. ICML 2026Towards Understanding Steering Strength
10. ICML 2026Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach
11. ICML 2026Understanding SAM through Minimax Perspective
12. ICML 2026Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions
13. ICML 2025On Understanding Attention-Based In-Context Learning for Categorical Data
14. ICML 2025Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
15. ICML 2025Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
16. ICML 2025Understanding Mode Connectivity via Parameter Space Symmetry
17. ICML 2025Understanding Nonlinear Implicit Bias via Region Counts in Input Space
18. ICML 2025Understanding the difficulties of posterior predictive estimation
19. ICML 2025Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra
20. ICML 2025Understanding the Limits of Deep Tabular Methods with Temporal Shift
21. ICML 2025Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
22. ICML 2025Understanding the Unfairness in Network Quantization
23. ICML 2024Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
24. ICML 2024LangCell: Language-Cell Pre-training for Cell Identity Understanding
25. ICML 2024Towards a Better Theoretical Understanding of Independent Subnetwork Training
26. ICML 2024Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
27. ICML 2024Towards Understanding Inductive Bias in Transformers: A View From Infinity
28. ICML 2024Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
29. ICML 2024Understanding Diffusion Models by Feynman's Path Integral
30. ICML 2024Understanding Forgetting in Continual Learning with Linear Regression
31. ICML 2024Understanding Heterophily for Graph Neural Networks
32. ICML 2024Understanding Inter-Concept Relationships in Concept-Based Models
33. ICML 2024Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
34. ICML 2024Understanding Stochastic Natural Gradient Variational Inference
35. ICML 2024Understanding the Effects of Iterative Prompting on Truthfulness
36. ICML 2024Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error
37. ICML 2024Understanding the Training Speedup from Sampling with Approximate Losses
38. ICML 2023How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
39. ICML 2023Towards Understanding Ensemble Distillation in Federated Learning
40. ICML 2023Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing
41. ICML 2023Understanding Plasticity in Neural Networks
42. ICML 2023Understanding Self-Distillation in the Presence of Label Noise

FAQ

How many Spoken Language Understanding papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

189 in total: 40 in 2023, 38 in 2024, 50 in 2025, 61 in 2026.

How many Spoken Language Understanding papers are at NeurIPS 2026?

NeurIPS 2026 has 25 Spoken Language Understanding papers, versus 14 the year before.

How many Spoken Language Understanding papers are at ICLR 2026?

ICLR 2026 has 6 Spoken Language Understanding papers, versus 7 the year before.

How many Spoken Language Understanding papers are at ICML 2026?

ICML 2026 has 12 Spoken Language Understanding papers, versus 10 the year before.

How many Spoken Language Understanding papers are at CVPR 2026?

CVPR 2026 has 18 Spoken Language Understanding papers, versus 19 the year before.

Which conference publishes the most Spoken Language Understanding papers?

CVPR, with 62 papers from 2023 to 2026.