UI Understanding papers, 2023–2026

Key findings

• UI Understanding went from 15 papers in 2023 to 27 in 2026, roughly 1.8x in three years.
• NeurIPS publishes the most UI Understanding work: 23 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 9 in 2026.
• Among the 5 topics under Education and HCI, it ranks #3 by 2026 paper count; the fastest grower in the group, User Modeling, is up 2.9x versus 1.8x 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 2026Towards Understanding the Shape of Representations in Protein Language Models
• CVPR 2026RISE Single Static Radar-based Indoor 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 2025MP-GUI: Modality Perception with MLLMs for GUI Understanding
• ICML 2024CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
• ICLR 2024Understanding In-Context Learning from Repetitions
• CVPR 2024PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
• NeurIPS 2023Understanding the detrimental class-level effects of data augmentation
• ICML 2023How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
• ICLR 2023First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
• CVPR 2023AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
• NeurIPS 2026Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
• ICML 2026Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions
• ICLR 2026Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
• CVPR 20264D-RGPT Toward Region-level 4D Understanding via Perceptual Distillation
• NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product

All UI Understanding papers

20 papers, page 1 of 1

1. ICML 2026A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
2. ICML 2026Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions
3. ICML 2025On Understanding Attention-Based In-Context Learning for Categorical Data
4. ICML 2025Position: AI Agents Need Authenticated Delegation
5. ICML 2025Understanding Mode Connectivity via Parameter Space Symmetry
6. ICML 2025Understanding Nonlinear Implicit Bias via Region Counts in Input Space
7. ICML 2025Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra
8. ICML 2024BAGEL: Bootstrapping Agents by Guiding Exploration with Language
9. ICML 2024CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
10. ICML 2024DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
11. ICML 2024Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
12. ICML 2024InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
13. ICML 2024LangCell: Language-Cell Pre-training for Cell Identity Understanding
14. ICML 2024MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
15. ICML 2024Towards a Better Theoretical Understanding of Independent Subnetwork Training
16. ICML 2024Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
17. ICML 2024Towards Understanding Inductive Bias in Transformers: A View From Infinity
18. ICML 2024Understanding the Effects of Iterative Prompting on Truthfulness
19. ICML 2023How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
20. ICML 2023Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing

FAQ

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

77 in total: 15 in 2023, 16 in 2024, 19 in 2025, 27 in 2026.

How many UI Understanding papers are at NeurIPS 2026?

NeurIPS 2026 has 16 UI Understanding papers, versus 6 the year before.

How many UI Understanding papers are at ICLR 2026?

ICLR 2026 has 2 UI Understanding papers, versus 2 the year before.

How many UI Understanding papers are at ICML 2026?

ICML 2026 has 2 UI Understanding papers, versus 5 the year before.

How many UI Understanding papers are at CVPR 2026?

CVPR 2026 has 7 UI Understanding papers, versus 6 the year before.

Which conference publishes the most UI Understanding papers?

NeurIPS, with 23 papers from 2023 to 2026.