通用机器学习 · evaluation论文趋势 2023–2026
通用机器学习：evaluation
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 606 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 18 | 17 | 11 | 7 | 53 |
| 2024 | 71 | 16 | 22 | 6 | 115 |
| 2025 | 124 | 19 | 58 | 7 | 208 |
| 2026 | 57 | 19 | 148 | 6 | 230 |
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 230 篇，第 4 / 5 页
- ICML 2026Tempora: Characterising the Time-Contingent Utility of Online Test-Time Adaptation
- ICML 2026The Abstraction Gap in Vision-Language Causal Reasoning
- ICML 2026The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
- ICML 2026The Relative Instability of Model Comparison with Cross-validation
- ICML 2026Thinking in Structures: Evaluating Spatial Intelligence in Constraint-Governed Spaces
- ICML 2026Towards a Science of AI Agent Reliability
- ICML 2026TritonGym: A Benchmark for Agentic LLM Workflows in Triton GPU Code Generation
- ICML 2026Uncovering Competency Gaps in Large Language Models and Their Benchmarks
- ICML 2026UniCode: Augmenting Evaluation for Code Reasoning
- ICML 2026Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation
- ICML 2026Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization
- ICML 2026VenusBench-Mobile: A Challenging and User-Centric Benchmark for Mobile GUI Agents with Capability Diagnostics
- ICML 2026VeRO: A Harness for Agents to Optimize Agents
- ICML 2026Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification
- ICML 2026VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge
- ICML 2026VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
- ICML 2026VocSim A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio
- ICML 2026VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning
- ICML 2026What Language is This? Ask Your Tokenizer.
- ICML 2026When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
- ICML 2026When Can We Trust Survival Model Evaluation ?
- ICML 2026WISE: World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
- ICML 2026ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
- NeurIPS 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
- NeurIPS 2026A Reproducible Evaluation Protocol for Quantum Non-Linearity in Variational Quantum Models
- NeurIPS 2026A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
- NeurIPS 2026A systematic evaluation of vision-language models for observational astronomical reasoning tasks
- NeurIPS 2026Agentick: A Unified Benchmark for General Sequential Decision-Making Agents
- NeurIPS 2026AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
- NeurIPS 2026AMUSE: Anytime Muon with Stable Gradient Evaluation
- NeurIPS 2026Auditing Single-Query Recoverability in Self-Supervised Representations
- NeurIPS 2026BenchRep-T: A Systematic Evaluation of T-Cell Repertoire-Based Disease Diagnostics
- NeurIPS 2026Beyond IID: How General Are Tabular Foundation Models, Really?
- NeurIPS 2026Closed-Form Implicit Neural Representations
- NeurIPS 2026DD-Ranking: Rethinking the Evaluation of Dataset Distillation
- NeurIPS 2026DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents
- NeurIPS 2026DiffScore: Text Evaluation Beyond Autoregressive Likelihood
- NeurIPS 2026DynaCell: an Evaluation Framework for Dynamic 3D Virtual Staining of Live Cells
- NeurIPS 2026EvalAwareBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models
- NeurIPS 2026EVALUATION CARDS: An Interpretive Layer for AI Evaluation Reporting
- NeurIPS 2026Evaluation of Visual Processing Should Be Human-Centered, Not Metric-Centered
- NeurIPS 2026Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
- NeurIPS 2026Finding Koopman Invariant Subspaces via Personalized PageRank
- NeurIPS 2026From Contexts to Conditionals: Statistical Self-Consistency of Persona Prompting
- NeurIPS 2026GenAI Evaluation Results are Largely Artifacts of Evaluation Design Choices: Evidence from Audit Studies of Resume Screening
- NeurIPS 2026General Agent Evaluation
- NeurIPS 2026GISA: A Benchmark for General Information-Seeking Assistant
- NeurIPS 2026GPA: General Principled Framework for Linearizing Softmax Attention via KV Cache Approximation
- NeurIPS 2026Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents
- NeurIPS 2026IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查通用机器学习 · evaluation在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "gml-evaluation"}
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。