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 270 篇,第 4 / 6 页
- 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
- NeurIPS 2025VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
- NeurIPS 2025VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs
- NeurIPS 2025Web-Scale Collection of Video Data for 4D Animal Reconstruction
- NeurIPS 2025What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models
- NeurIPS 2025Why Do Multi-Agent LLM Systems Fail?
- NeurIPS 2025Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications
- NeurIPS 2025XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
- NeurIPS 2025YEAST: Yet Another Sequential Test
- NeurIPS 2024Accuracy is Not All You Need
- NeurIPS 2024Active Learning of General Halfspaces: Label Queries vs Membership Queries
- NeurIPS 2024Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
- NeurIPS 2024Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
- NeurIPS 2024Algorithmic progress in language models
- NeurIPS 2024An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
- NeurIPS 2024Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
- NeurIPS 2024Are Language Models Actually Useful for Time Series Forecasting?
- NeurIPS 2024Benchmark Data Repositories for Better Benchmarking
- NeurIPS 2024BertaQA: How Much Do Language Models Know About Local Culture?
- NeurIPS 2024Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?
- NeurIPS 2024Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
- NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
- NeurIPS 2024Contrastive dimension reduction: when and how?
- NeurIPS 2024DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
- NeurIPS 2024Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
- NeurIPS 2024Efficient Lifelong Model Evaluation in an Era of Rapid Progress
- NeurIPS 2024Efficient multi-prompt evaluation of LLMs
- NeurIPS 2024Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
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。