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 1 of 3

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

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.