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 71 篇，第 1 / 2 页

1. NeurIPS 2024Accuracy is Not All You Need
2. NeurIPS 2024Active Learning of General Halfspaces: Label Queries vs Membership Queries
3. NeurIPS 2024Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
4. NeurIPS 2024Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
5. NeurIPS 2024Algorithmic progress in language models
6. NeurIPS 2024An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
7. NeurIPS 2024Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
8. NeurIPS 2024Are Language Models Actually Useful for Time Series Forecasting?
9. NeurIPS 2024Benchmark Data Repositories for Better Benchmarking
10. NeurIPS 2024BertaQA: How Much Do Language Models Know About Local Culture?
11. NeurIPS 2024Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?
12. NeurIPS 2024Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
13. NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
14. NeurIPS 2024Contrastive dimension reduction: when and how?
15. NeurIPS 2024DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
16. NeurIPS 2024Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
17. NeurIPS 2024Efficient Lifelong Model Evaluation in an Era of Rapid Progress
18. NeurIPS 2024Efficient multi-prompt evaluation of LLMs
19. NeurIPS 2024Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
20. NeurIPS 2024Evaluating the World Model Implicit in a Generative Model
21. NeurIPS 2024Evaluation of Text-to-Video Generation Models: A Dynamics Perspective
22. NeurIPS 2024Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
23. NeurIPS 2024Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
24. NeurIPS 2024General bounds on the quality of Bayesian coresets
25. NeurIPS 2024GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
26. NeurIPS 2024GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
27. NeurIPS 2024Graph Edit Distance with General Costs Using Neural Set Divergence
28. NeurIPS 2024GTA: A Benchmark for General Tool Agents
29. NeurIPS 2024GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
30. NeurIPS 2024Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
31. NeurIPS 2024HonestLLM: Toward an Honest and Helpful Large Language Model
32. NeurIPS 2024I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
33. NeurIPS 2024Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces
34. NeurIPS 2024Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
35. NeurIPS 2024Localizing Memorization in SSL Vision Encoders
36. NeurIPS 2024Metric Space Magnitude for Evaluating the Diversity of Latent Representations
37. NeurIPS 2024Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
38. NeurIPS 2024MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
39. NeurIPS 2024MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
40. NeurIPS 2024Needle In A Multimodal Haystack
41. NeurIPS 2024No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
42. NeurIPS 2024Nonparametric Evaluation of Noisy ICA Solutions
43. NeurIPS 2024OpenCDA-Loop: A Closed-loop Benchmarking Platform for End-to-end Evaluation of Cooperative Perception
44. NeurIPS 2024OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
45. NeurIPS 2024Overcoming Common Flaws in the Evaluation of Selective Classification Systems
46. NeurIPS 2024Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
47. NeurIPS 2024Post-Hoc Reversal: Are We Selecting Models Prematurely?
48. NeurIPS 2024Prediction-Powered Ranking of Large Language Models
49. NeurIPS 2024Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
50. NeurIPS 2024RanDumb: Random Representations Outperform Online Continually Learned Representations

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。