General ML · evaluation papers, 2023–2026

Key findings

• General ML · evaluation went from 53 papers in 2023 to 230 in 2026, roughly 4.3x in three years.
• NeurIPS publishes the most General ML · evaluation work: 270 papers from 2023 to 2026, 45% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 47 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #4 by 2026 paper count; the fastest grower in the group, General ML · reinforcement learning, is up 2.0x versus 4.3x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All General ML · evaluation papers

270 papers, page 2 of 6

51. NeurIPS 2026Testable Learning of General Halfspaces under Massart Noise
52. NeurIPS 2026The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions
53. NeurIPS 2026TreeWalker: Partial Evaluation for Grouped Tree-Ensemble Inference
54. NeurIPS 2026TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders
55. NeurIPS 2026What Gets Measured Gets Managed: Sign-aware Recommendation Needs Sign-aware Evaluation
56. NeurIPS 2026When Are Predictions Enough? An Evaluation Protocol for Frozen Expert Composition
57. NeurIPS 2026When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory
58. NeurIPS 2025A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
59. NeurIPS 2025A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging
60. NeurIPS 2025A Principled Path to Fitted Distributional Evaluation
61. NeurIPS 2025Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
62. NeurIPS 2025AGI-Elo: How Far Are We From Mastering A Task?
63. NeurIPS 2025AI Debate Aids Assessment of Controversial Claims
64. NeurIPS 2025AI Testing Should Account for Sophisticated Strategic Behaviour
65. NeurIPS 2025Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
66. NeurIPS 2025AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
67. NeurIPS 2025APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
68. NeurIPS 2025Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
69. NeurIPS 2025Ascent Fails to Forget
70. NeurIPS 2025Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities
71. NeurIPS 2025Attention! Your Vision Language Model Could Be Maliciously Manipulated
72. NeurIPS 2025Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
73. NeurIPS 2025Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
74. NeurIPS 2025Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning
75. NeurIPS 2025Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations
76. NeurIPS 2025Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
77. NeurIPS 2025Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
78. NeurIPS 2025Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
79. NeurIPS 2025Can Agent Fix Agent Issues?
80. NeurIPS 2025Can Large Language Models Master Complex Card Games?
81. NeurIPS 2025Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
82. NeurIPS 2025Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment
83. NeurIPS 2025CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
84. NeurIPS 2025CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning
85. NeurIPS 2025Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
86. NeurIPS 2025Correlation Dimension of Autoregressive Large Language Models
87. NeurIPS 2025Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect
88. NeurIPS 2025Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
89. NeurIPS 2025DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
90. NeurIPS 2025Distributional LLM-as-a-Judge
91. NeurIPS 2025Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
92. NeurIPS 2025EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
93. NeurIPS 2025Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator
94. NeurIPS 2025Entropy-Calibrated Label Distribution Learning
95. NeurIPS 2025Establishing Best Practices in Building Rigorous Agentic Benchmarks
96. NeurIPS 2025EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
97. NeurIPS 2025Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
98. NeurIPS 2025Evaluating multiple models using labeled and unlabeled data
99. NeurIPS 2025Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps
100. NeurIPS 2025EvoLM: In Search of Lost Language Model Training Dynamics

FAQ

How many General ML · evaluation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

606 in total: 53 in 2023, 115 in 2024, 208 in 2025, 230 in 2026.

How many General ML · evaluation papers are at NeurIPS 2026?

NeurIPS 2026 has 57 General ML · evaluation papers, versus 124 the year before.

How many General ML · evaluation papers are at ICLR 2026?

ICLR 2026 has 19 General ML · evaluation papers, versus 19 the year before.

How many General ML · evaluation papers are at ICML 2026?

ICML 2026 has 148 General ML · evaluation papers, versus 58 the year before.

How many General ML · evaluation papers are at CVPR 2026?

CVPR 2026 has 6 General ML · evaluation papers, versus 7 the year before.

Which conference publishes the most General ML · evaluation papers?

NeurIPS, with 270 papers from 2023 to 2026.