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 1 / 3 页

1. NeurIPS 2025A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
2. NeurIPS 2025A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging
3. NeurIPS 2025A Principled Path to Fitted Distributional Evaluation
4. NeurIPS 2025Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
5. NeurIPS 2025AGI-Elo: How Far Are We From Mastering A Task?
6. NeurIPS 2025AI Debate Aids Assessment of Controversial Claims
7. NeurIPS 2025AI Testing Should Account for Sophisticated Strategic Behaviour
8. NeurIPS 2025Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
9. NeurIPS 2025AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
10. NeurIPS 2025APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
11. NeurIPS 2025Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
12. NeurIPS 2025Ascent Fails to Forget
13. NeurIPS 2025Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities
14. NeurIPS 2025Attention! Your Vision Language Model Could Be Maliciously Manipulated
15. NeurIPS 2025Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
16. NeurIPS 2025Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
17. NeurIPS 2025Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning
18. NeurIPS 2025Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations
19. NeurIPS 2025Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
20. NeurIPS 2025Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
21. NeurIPS 2025Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
22. NeurIPS 2025Can Agent Fix Agent Issues?
23. NeurIPS 2025Can Large Language Models Master Complex Card Games?
24. NeurIPS 2025Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
25. NeurIPS 2025Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment
26. NeurIPS 2025CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
27. NeurIPS 2025CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning
28. NeurIPS 2025Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
29. NeurIPS 2025Correlation Dimension of Autoregressive Large Language Models
30. NeurIPS 2025Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect
31. NeurIPS 2025Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
32. NeurIPS 2025DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
33. NeurIPS 2025Distributional LLM-as-a-Judge
34. NeurIPS 2025Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
35. NeurIPS 2025EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
36. NeurIPS 2025Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator
37. NeurIPS 2025Entropy-Calibrated Label Distribution Learning
38. NeurIPS 2025Establishing Best Practices in Building Rigorous Agentic Benchmarks
39. NeurIPS 2025EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
40. NeurIPS 2025Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
41. NeurIPS 2025Evaluating multiple models using labeled and unlabeled data
42. NeurIPS 2025Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps
43. NeurIPS 2025EvoLM: In Search of Lost Language Model Training Dynamics
44. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
45. NeurIPS 2025Fantastic Bugs and Where to Find Them in AI Benchmarks
46. NeurIPS 2025FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
47. NeurIPS 2025Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
48. NeurIPS 2025Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
49. NeurIPS 2025Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
50. NeurIPS 2025Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking

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。