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 12 of 13

551. NeurIPS 2024Weak Supervision Performance Evaluation via Partial Identification
552. NeurIPS 2024What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
553. NeurIPS 2024Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)
554. CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
555. CVPR 2023Beyond mAP: Towards Better Evaluation of Instance Segmentation
556. CVPR 2023BiasBed - Rigorous Texture Bias Evaluation
557. CVPR 2023GeneCIS: A Benchmark for General Conditional Image Similarity
558. CVPR 2023GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning
559. CVPR 2023Neuralizer: General Neuroimage Analysis Without Re-Training
560. CVPR 2023PMR: Prototypical Modal Rebalance for Multimodal Learning
561. ICLR 2023A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
562. ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
563. ICLR 2023Agnostic Learning of General ReLU Activation Using Gradient Descent
564. ICLR 2023Approximate Bayesian Inference with Stein Functional Variational Gradient Descent
565. ICLR 2023Backstepping Temporal Difference Learning
566. ICLR 2023Beyond calibration: estimating the grouping loss of modern neural networks
567. ICLR 2023Continual evaluation for lifelong learning: Identifying the stability gap
568. ICLR 2023Evaluating Representations with Readout Model Switching
569. ICLR 2023General Neural Gauge Fields
570. ICLR 2023MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
571. ICLR 2023Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN
572. ICLR 2023NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs
573. ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
574. ICLR 2023Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
575. ICLR 2023Stochastic No-regret Learning for General Games with Variance Reduction
576. ICLR 2023The Role of ImageNet Classes in Fréchet Inception Distance
577. ICLR 2023Variational Latent Branching Model for Off-Policy Evaluation
578. ICML 2023An Instrumental Variable Approach to Confounded Off-Policy Evaluation
579. ICML 2023Dimensionality Reduction for General KDE Mode Finding
580. ICML 2023Distributional Offline Policy Evaluation with Predictive Error Guarantees
581. ICML 2023Explainability as statistical inference
582. ICML 2023FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
583. ICML 2023General Covariance Data Augmentation for Neural PDE Solvers
584. ICML 2023Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
585. ICML 2023Neural Status Registers
586. ICML 2023NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
587. ICML 2023Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
588. ICML 2023VIMA: Robot Manipulation with Multimodal Prompts
589. NeurIPS 2023A General Framework for Robust G-Invariance in G-Equivariant Networks
590. NeurIPS 2023AQuA: A Benchmarking Tool for Label Quality Assessment
591. NeurIPS 2023Beyond Average Return in Markov Decision Processes
592. NeurIPS 2023Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
593. NeurIPS 2023Beyond Normal: On the Evaluation of Mutual Information Estimators
594. NeurIPS 2023Building Socio-culturally Inclusive Stereotype Resources with Community Engagement
595. NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
596. NeurIPS 2023Counterfactual Evaluation of Peer-Review Assignment Policies
597. NeurIPS 2023Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
598. NeurIPS 2023CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
599. NeurIPS 2023Curvature Filtrations for Graph Generative Model Evaluation
600. NeurIPS 2023FELM: Benchmarking Factuality Evaluation of Large Language Models

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.