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 58 篇，第 1 / 2 页

1. ICML 2025A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
2. ICML 2025AAAR-1.0: Assessing AI’s Potential to Assist Research
3. ICML 2025AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
4. ICML 2025Almost Optimal Fully Dynamic $k$-Center Clustering with Recourse
5. ICML 2025am-ELO: A Stable Framework for Arena-based LLM Evaluation
6. ICML 2025Approximately Correct Label Distribution Learning
7. ICML 2025AutoEval Done Right: Using Synthetic Data for Model Evaluation
8. ICML 2025Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach
9. ICML 2025CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
10. ICML 2025Copilot Arena: A Platform for Code LLM Evaluation in the Wild
11. ICML 2025Correlation Clustering Beyond the Pivot Algorithm
12. ICML 2025Do Vision-Language Models Really Understand Visual Language?
13. ICML 2025Feature Importance Metrics in the Presence of Missing Data
14. ICML 2025FedClean: A General Robust Label Noise Correction for Federated Learning
15. ICML 2025From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline
16. ICML 2025From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set
17. ICML 2025Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
18. ICML 2025High-Dimensional Tensor Regression With Oracle Properties
19. ICML 2025How Do Large Language Monkeys Get Their Power (Laws)?
20. ICML 2025Is Complex Query Answering Really Complex?
21. ICML 2025KernelBench: Can LLMs Write Efficient GPU Kernels?
22. ICML 2025KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
23. ICML 2025LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
24. ICML 2025MathConstruct: Challenging LLM Reasoning with Constructive Proofs
25. ICML 2025MCU: An Evaluation Framework for Open-Ended Game Agents
26. ICML 2025Measuring Diversity in Synthetic Datasets
27. ICML 2025MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
28. ICML 2025Minerva: A Programmable Memory Test Benchmark for Language Models
29. ICML 2025Modified K-means Algorithm with Local Optimality Guarantees
30. ICML 2025Multiple-policy Evaluation via Density Estimation
31. ICML 2025Off-Policy Evaluation under Nonignorable Missing Data
32. ICML 2025On the Diversity of Adversarial Ensemble Learning
33. ICML 2025Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination’s Impact on Machine Translation
34. ICML 2025PaperBench: Evaluating AI’s Ability to Replicate AI Research
35. ICML 2025Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
36. ICML 2025Position: AI Evaluation Should Learn from How We Test Humans
37. ICML 2025Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
38. ICML 2025Position: Stop treating `AGI' as the north-star goal of AI research
39. ICML 2025Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations
40. ICML 2025Provable Efficiency of Guidance in Diffusion Models for General Data Distribution
41. ICML 2025RAGGED: Towards Informed Design of Scalable and Stable RAG Systems
42. ICML 2025Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
43. ICML 2025RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation
44. ICML 2025RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation
45. ICML 2025Reflection-Bench: Evaluating Epistemic Agency in Large Language Models
46. ICML 2025Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression
47. ICML 2025Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
48. ICML 2025Robust ML Auditing using Prior Knowledge
49. ICML 2025SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
50. ICML 2025SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering

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。