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 2 / 2 页

51. NeurIPS 2024RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
52. NeurIPS 2024Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality
53. NeurIPS 2024Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
54. NeurIPS 2024Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data
55. NeurIPS 2024RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
56. NeurIPS 2024RMLR: Extending Multinomial Logistic Regression into General Geometries
57. NeurIPS 2024Scalable DBSCAN with Random Projections
58. NeurIPS 2024Should We Really Edit Language Models? On the Evaluation of Edited Language Models
59. NeurIPS 2024Statistical Multicriteria Benchmarking via the GSD-Front
60. NeurIPS 2024Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models
61. NeurIPS 2024SubjECTive-QA: A dataset for the subjective evaluation of answers in Earnings Call Transcripts (ECTs)
62. NeurIPS 2024Task Me Anything
63. NeurIPS 2024Task-oriented Time Series Imputation Evaluation via Generalized Representers
64. NeurIPS 2024The Art of Saying No: Contextual Noncompliance in Language Models
65. NeurIPS 2024To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation
66. NeurIPS 2024Towards a Scalable Reference-Free Evaluation of Generative Models
67. NeurIPS 2024Towards Explainable Evaluation Metrics for Machine Translation
68. NeurIPS 2024Unveiling the Tapestry of Consistency in Large Vision-Language Models
69. NeurIPS 2024Weak Supervision Performance Evaluation via Partial Identification
70. NeurIPS 2024What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
71. NeurIPS 2024Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

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。