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 208 篇，第 4 / 5 页
- NeurIPS 2025MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference
- NeurIPS 2025MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
- NeurIPS 2025ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
- NeurIPS 2025More of the Same: Persistent Representational Harms Under Increased Representation
- NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
- NeurIPS 2025MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence
- NeurIPS 2025Neural Fractional Attention Differential Equations
- NeurIPS 2025Non-rectangular Robust MDPs with Normed Uncertainty Sets
- NeurIPS 2025nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning
- NeurIPS 2025On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
- NeurIPS 2025On the Hardness of Conditional Independence Testing In Practice
- NeurIPS 2025ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
- NeurIPS 2025ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints
- NeurIPS 2025PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
- NeurIPS 2025Pessimistic Data Integration for Policy Evaluation
- NeurIPS 2025QUT-DV25: A Dataset for Dynamic Analysis of Next-Gen Software Supply Chain Attacks
- NeurIPS 2025RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics
- NeurIPS 2025Rethinking Verification for LLM Code Generation: From Generation to Testing
- NeurIPS 2025Robust Regression of General ReLUs with Queries
- NeurIPS 2025RvLLM: LLM Runtime Verification with Domain Knowledge
- NeurIPS 2025Scalable Evaluation and Neural Models for Compositional Generalization
- NeurIPS 2025SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks
- NeurIPS 2025SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks
- NeurIPS 2025SHGR: A Generalized Maximal Correlation Coefficient
- NeurIPS 2025Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
- NeurIPS 2025Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator
- NeurIPS 2025Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families
- NeurIPS 2025Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
- NeurIPS 2025SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
- NeurIPS 2025SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
- NeurIPS 2025Tackling Biased Evaluators in Dueling Bandits
- NeurIPS 2025The Impact of Coreset Selection on Spurious Correlations and Group Robustness
- NeurIPS 2025The Leaderboard Illusion
- NeurIPS 2025The Underappreciated Power of Vision Models for Graph Structural Understanding
- NeurIPS 2025ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning
- NeurIPS 2025Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining
- NeurIPS 2025Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking
- NeurIPS 2025Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
- NeurIPS 2025Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis
- NeurIPS 2025Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds
- NeurIPS 2025TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
- NeurIPS 2025Tree-Sliced Entropy Partial Transport
- NeurIPS 2025TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
- NeurIPS 2025Ultrametric Cluster Hierarchies: I Want ‘em All!
- NeurIPS 2025Uncertainty Estimation by Flexible Evidential Deep Learning
- NeurIPS 2025Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
- NeurIPS 2025Valid Inference with Imperfect Synthetic Data
- NeurIPS 2025Validating LLM-as-a-Judge Systems under Rating Indeterminacy
- NeurIPS 2025VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR
- NeurIPS 2025Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
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。