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 124 篇，第 3 / 3 页

101. NeurIPS 2025ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning
102. NeurIPS 2025Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining
103. NeurIPS 2025Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking
104. NeurIPS 2025Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
105. NeurIPS 2025Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis
106. NeurIPS 2025Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds
107. NeurIPS 2025TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
108. NeurIPS 2025Tree-Sliced Entropy Partial Transport
109. NeurIPS 2025TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
110. NeurIPS 2025Ultrametric Cluster Hierarchies: I Want ‘em All!
111. NeurIPS 2025Uncertainty Estimation by Flexible Evidential Deep Learning
112. NeurIPS 2025Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
113. NeurIPS 2025Valid Inference with Imperfect Synthetic Data
114. NeurIPS 2025Validating LLM-as-a-Judge Systems under Rating Indeterminacy
115. NeurIPS 2025VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR
116. NeurIPS 2025Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
117. NeurIPS 2025VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
118. NeurIPS 2025VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs
119. NeurIPS 2025Web-Scale Collection of Video Data for 4D Animal Reconstruction
120. NeurIPS 2025What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models
121. NeurIPS 2025Why Do Multi-Agent LLM Systems Fail?
122. NeurIPS 2025Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications
123. NeurIPS 2025XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
124. NeurIPS 2025YEAST: Yet Another Sequential Test

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。