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

606 papers, page 10 of 13

451. ICLR 2024MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
452. ICLR 2024Neural Optimal Transport with General Cost Functionals
453. ICLR 2024Parallelizing non-linear sequential models over the sequence length
454. ICLR 2024Predicting Emergent Abilities with Infinite Resolution Evaluation
455. ICLR 2024Safe Collaborative Filtering
456. ICLR 2024SAS: Structured Activation Sparsification
457. ICLR 2024The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
458. ICLR 2024Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
459. ICLR 2024Transferring Learning Trajectories of Neural Networks
460. ICLR 2024What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
461. ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
462. ICML 2024A3S: A General Active Clustering Method with Pairwise Constraints
463. ICML 2024An Interpretable Evaluation of Entropy-based Novelty of Generative Models
464. ICML 2024Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
465. ICML 2024Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
466. ICML 2024Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
467. ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
468. ICML 2024Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
469. ICML 2024CurBench: Curriculum Learning Benchmark
470. ICML 2024Dynamic Evaluation of Large Language Models by Meta Probing Agents
471. ICML 2024Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
472. ICML 2024Evaluation of Trajectory Distribution Predictions with Energy Score
473. ICML 2024Kernel-Based Evaluation of Conditional Biological Sequence Models
474. ICML 2024Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
475. ICML 2024On the Hardness of Probabilistic Neurosymbolic Learning
476. ICML 2024Policy Evaluation for Variance in Average Reward Reinforcement Learning
477. ICML 2024Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
478. ICML 2024Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
479. ICML 2024SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
480. ICML 2024Stability Evaluation through Distributional Perturbation Analysis
481. ICML 2024Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
482. ICML 2024Transolver: A Fast Transformer Solver for PDEs on General Geometries
483. NeurIPS 2024Accuracy is Not All You Need
484. NeurIPS 2024Active Learning of General Halfspaces: Label Queries vs Membership Queries
485. NeurIPS 2024Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
486. NeurIPS 2024Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
487. NeurIPS 2024Algorithmic progress in language models
488. NeurIPS 2024An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
489. NeurIPS 2024Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
490. NeurIPS 2024Are Language Models Actually Useful for Time Series Forecasting?
491. NeurIPS 2024Benchmark Data Repositories for Better Benchmarking
492. NeurIPS 2024BertaQA: How Much Do Language Models Know About Local Culture?
493. NeurIPS 2024Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?
494. NeurIPS 2024Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
495. NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
496. NeurIPS 2024Contrastive dimension reduction: when and how?
497. NeurIPS 2024DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
498. NeurIPS 2024Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
499. NeurIPS 2024Efficient Lifelong Model Evaluation in an Era of Rapid Progress
500. NeurIPS 2024Efficient multi-prompt evaluation of LLMs

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.