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 270 篇，第 3 / 6 页

101. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
102. NeurIPS 2025Fantastic Bugs and Where to Find Them in AI Benchmarks
103. NeurIPS 2025FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
104. NeurIPS 2025Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
105. NeurIPS 2025Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
106. NeurIPS 2025Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
107. NeurIPS 2025Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking
108. NeurIPS 2025Fully Dynamic Algorithms for Chamfer Distance
109. NeurIPS 2025Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals
110. NeurIPS 2025HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class
111. NeurIPS 2025Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity
112. NeurIPS 2025How Benchmark Prediction from Fewer Data Misses the Mark
113. NeurIPS 2025How many measurements are enough? Bayesian recovery in inverse problems with general distributions
114. NeurIPS 2025ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
115. NeurIPS 2025KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation
116. NeurIPS 2025KScope: A Framework for Characterizing the Knowledge Status of Language Models
117. NeurIPS 2025Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
118. NeurIPS 2025MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation
119. NeurIPS 2025Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
120. NeurIPS 2025Measuring AI Ability to Complete Long Software Tasks
121. NeurIPS 2025Measuring what Matters: Construct Validity in Large Language Model Benchmarks
122. NeurIPS 2025MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
123. NeurIPS 2025MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM
124. NeurIPS 2025MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference
125. NeurIPS 2025MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
126. NeurIPS 2025ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
127. NeurIPS 2025More of the Same: Persistent Representational Harms Under Increased Representation
128. NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
129. NeurIPS 2025MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence
130. NeurIPS 2025Neural Fractional Attention Differential Equations
131. NeurIPS 2025Non-rectangular Robust MDPs with Normed Uncertainty Sets
132. NeurIPS 2025nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning
133. NeurIPS 2025On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
134. NeurIPS 2025On the Hardness of Conditional Independence Testing In Practice
135. NeurIPS 2025ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
136. NeurIPS 2025ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints
137. NeurIPS 2025PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
138. NeurIPS 2025Pessimistic Data Integration for Policy Evaluation
139. NeurIPS 2025QUT-DV25: A Dataset for Dynamic Analysis of Next-Gen Software Supply Chain Attacks
140. NeurIPS 2025RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics
141. NeurIPS 2025Rethinking Verification for LLM Code Generation: From Generation to Testing
142. NeurIPS 2025Robust Regression of General ReLUs with Queries
143. NeurIPS 2025RvLLM: LLM Runtime Verification with Domain Knowledge
144. NeurIPS 2025Scalable Evaluation and Neural Models for Compositional Generalization
145. NeurIPS 2025SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks
146. NeurIPS 2025SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks
147. NeurIPS 2025SHGR: A Generalized Maximal Correlation Coefficient
148. NeurIPS 2025Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
149. NeurIPS 2025Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator
150. NeurIPS 2025Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families

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。