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

124 papers, page 2 of 3

51. NeurIPS 2025Fully Dynamic Algorithms for Chamfer Distance
52. NeurIPS 2025Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals
53. NeurIPS 2025HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class
54. NeurIPS 2025Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity
55. NeurIPS 2025How Benchmark Prediction from Fewer Data Misses the Mark
56. NeurIPS 2025How many measurements are enough? Bayesian recovery in inverse problems with general distributions
57. NeurIPS 2025ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
58. NeurIPS 2025KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation
59. NeurIPS 2025KScope: A Framework for Characterizing the Knowledge Status of Language Models
60. NeurIPS 2025Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
61. NeurIPS 2025MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation
62. NeurIPS 2025Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
63. NeurIPS 2025Measuring AI Ability to Complete Long Software Tasks
64. NeurIPS 2025Measuring what Matters: Construct Validity in Large Language Model Benchmarks
65. NeurIPS 2025MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
66. NeurIPS 2025MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM
67. NeurIPS 2025MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference
68. NeurIPS 2025MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
69. NeurIPS 2025ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
70. NeurIPS 2025More of the Same: Persistent Representational Harms Under Increased Representation
71. NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
72. NeurIPS 2025MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence
73. NeurIPS 2025Neural Fractional Attention Differential Equations
74. NeurIPS 2025Non-rectangular Robust MDPs with Normed Uncertainty Sets
75. NeurIPS 2025nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning
76. NeurIPS 2025On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
77. NeurIPS 2025On the Hardness of Conditional Independence Testing In Practice
78. NeurIPS 2025ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
79. NeurIPS 2025ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints
80. NeurIPS 2025PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
81. NeurIPS 2025Pessimistic Data Integration for Policy Evaluation
82. NeurIPS 2025QUT-DV25: A Dataset for Dynamic Analysis of Next-Gen Software Supply Chain Attacks
83. NeurIPS 2025RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics
84. NeurIPS 2025Rethinking Verification for LLM Code Generation: From Generation to Testing
85. NeurIPS 2025Robust Regression of General ReLUs with Queries
86. NeurIPS 2025RvLLM: LLM Runtime Verification with Domain Knowledge
87. NeurIPS 2025Scalable Evaluation and Neural Models for Compositional Generalization
88. NeurIPS 2025SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks
89. NeurIPS 2025SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks
90. NeurIPS 2025SHGR: A Generalized Maximal Correlation Coefficient
91. NeurIPS 2025Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
92. NeurIPS 2025Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator
93. NeurIPS 2025Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families
94. NeurIPS 2025Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
95. NeurIPS 2025SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
96. NeurIPS 2025SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
97. NeurIPS 2025Tackling Biased Evaluators in Dueling Bandits
98. NeurIPS 2025The Impact of Coreset Selection on Spurious Correlations and Group Robustness
99. NeurIPS 2025The Leaderboard Illusion
100. NeurIPS 2025The Underappreciated Power of Vision Models for Graph Structural Understanding

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.