通用机器学习 · evaluation论文趋势 2023–2026

主要结论

• 通用机器学习 · evaluation论文从 2023 年的 53 篇增长到 2026 年的 230 篇，三年间扩大到约 4.3 倍。
• NeurIPS 是发通用机器学习 · evaluation论文最多的会议，2023–2026 年共 270 篇，占四个会议总量的 45%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 47 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 4；同组增长最快的通用机器学习 · reinforcement learning是 2.0 倍，通用机器学习 · evaluation是 4.3 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 2026AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
• ICML 2026A Computational Framework for Evaluating Human-likeness in LLMs' Open-ended Human Behaviors
• ICLR 2026Unlearning Evaluation through Subset Statistical Independence
• CVPR 2026Bridging the Perception Gap in Image Super-Resolution Evaluation
• NeurIPS 2025Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
• ICML 2025AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
• ICLR 2025On Speeding Up Language Model Evaluation
• CVPR 2025ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
• NeurIPS 2024Accuracy is Not All You Need
• ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
• ICLR 2024BatchPrompt: Accomplish more with less
• CVPR 2024Animating General Image with Large Visual Motion Model
• NeurIPS 2023AQuA: A Benchmarking Tool for Label Quality Assessment
• ICML 2023Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
• ICLR 2023Beyond calibration: estimating the grouping loss of modern neural networks
• CVPR 2023GeneCIS: A Benchmark for General Conditional Image Similarity
• NeurIPS 2026AMUSE: Anytime Muon with Stable Gradient Evaluation
• ICML 2026A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems
• ICLR 2026Choices Speak Louder than Questions
• CVPR 2026Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks

全部通用机器学习 · evaluation论文

共 57 篇，第 1 / 2 页

1. NeurIPS 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
2. NeurIPS 2026A Reproducible Evaluation Protocol for Quantum Non-Linearity in Variational Quantum Models
3. NeurIPS 2026A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
4. NeurIPS 2026A systematic evaluation of vision-language models for observational astronomical reasoning tasks
5. NeurIPS 2026Agentick: A Unified Benchmark for General Sequential Decision-Making Agents
6. NeurIPS 2026AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
7. NeurIPS 2026AMUSE: Anytime Muon with Stable Gradient Evaluation
8. NeurIPS 2026Auditing Single-Query Recoverability in Self-Supervised Representations
9. NeurIPS 2026BenchRep-T: A Systematic Evaluation of T-Cell Repertoire-Based Disease Diagnostics
10. NeurIPS 2026Beyond IID: How General Are Tabular Foundation Models, Really?
11. NeurIPS 2026Closed-Form Implicit Neural Representations
12. NeurIPS 2026DD-Ranking: Rethinking the Evaluation of Dataset Distillation
13. NeurIPS 2026DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents
14. NeurIPS 2026DiffScore: Text Evaluation Beyond Autoregressive Likelihood
15. NeurIPS 2026DynaCell: an Evaluation Framework for Dynamic 3D Virtual Staining of Live Cells
16. NeurIPS 2026EvalAwareBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models
17. NeurIPS 2026EVALUATION CARDS: An Interpretive Layer for AI Evaluation Reporting
18. NeurIPS 2026Evaluation of Visual Processing Should Be Human-Centered, Not Metric-Centered
19. NeurIPS 2026Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
20. NeurIPS 2026Finding Koopman Invariant Subspaces via Personalized PageRank
21. NeurIPS 2026From Contexts to Conditionals: Statistical Self-Consistency of Persona Prompting
22. NeurIPS 2026GenAI Evaluation Results are Largely Artifacts of Evaluation Design Choices: Evidence from Audit Studies of Resume Screening
23. NeurIPS 2026General Agent Evaluation
24. NeurIPS 2026GISA: A Benchmark for General Information-Seeking Assistant
25. NeurIPS 2026GPA: General Principled Framework for Linearizing Softmax Attention via KV Cache Approximation
26. NeurIPS 2026Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents
27. NeurIPS 2026IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs
28. NeurIPS 2026Intra-Option Fitted Q-Evaluation: Evaluating Hierarchical Policies from Non-Hierarchical Data
29. NeurIPS 2026Looking Under the Streetlight: Evaluation in Generative Molecular Dynamics
30. NeurIPS 2026MapShift: Controlled Post-Intervention Evaluation for Embodied World Models
31. NeurIPS 2026MIND: Monge Inception Distance for Generative Models Evaluation
32. NeurIPS 2026Mini-batch kernel $k$-means
33. NeurIPS 2026MinSteer: Minimal-Pair Steering via Two-Stage Cached Continuation
34. NeurIPS 2026MMSkills: Towards Multimodal Skills for General Visual Agents
35. NeurIPS 2026Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation
36. NeurIPS 2026Offline Preference-Based Trajectory Evaluation
37. NeurIPS 2026Online Evaluation of LLMs via Dyadic Designs
38. NeurIPS 2026Optimal Convergence Analysis of DDPM for General Distributions
39. NeurIPS 2026OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models
40. NeurIPS 2026OWCE: Revealing Language Model Complementarity via Online Weakness-Conditioned Evaluation
41. NeurIPS 2026PepSpecBench: A Unified Evaluation Benchmark for Peptide Tandem Mass Spectrometry Prediction
42. NeurIPS 2026Persistent-Transient Policy Evaluation for Markov Chains via Minimal Peripheral Quotients
43. NeurIPS 2026Post-Selection Distributional Model Evaluation
44. NeurIPS 2026PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks
45. NeurIPS 2026quanda: An Interpretability Toolkit for Training Data Attribution Evaluation
46. NeurIPS 2026RA-ClipScore: Making Generative Model Evaluation More Interpretable
47. NeurIPS 2026Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation
48. NeurIPS 2026Safe, or Simply Incapable? Rethinking Safety Evaluation for Phone-Use Agents
49. NeurIPS 2026Select Smarter, Not More? Prompt-Aware Evaluation Scheduling with Submodular Guarantees
50. NeurIPS 2026SGNNBench: A Holistic Evaluation of Spiking Graph Neural Networks on Large-scale Graphs

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · evaluation论文？

共 606 篇，按年份分别是 2023 年 53 篇、2024 年 115 篇、2025 年 208 篇、2026 年 230 篇。

NeurIPS 2026 有多少篇通用机器学习 · evaluation论文？

NeurIPS 2026 有 57 篇通用机器学习 · evaluation论文，上一届是 124 篇。

ICLR 2026 有多少篇通用机器学习 · evaluation论文？

ICLR 2026 有 19 篇通用机器学习 · evaluation论文，上一届是 19 篇。

ICML 2026 有多少篇通用机器学习 · evaluation论文？

ICML 2026 有 148 篇通用机器学习 · evaluation论文，上一届是 58 篇。

CVPR 2026 有多少篇通用机器学习 · evaluation论文？

CVPR 2026 有 6 篇通用机器学习 · evaluation论文，上一届是 7 篇。

哪个会议的通用机器学习 · evaluation论文最多？

NeurIPS，2023–2026 年共 270 篇。