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 11 of 13

501. NeurIPS 2024Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
502. NeurIPS 2024Evaluating the World Model Implicit in a Generative Model
503. NeurIPS 2024Evaluation of Text-to-Video Generation Models: A Dynamics Perspective
504. NeurIPS 2024Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
505. NeurIPS 2024Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
506. NeurIPS 2024General bounds on the quality of Bayesian coresets
507. NeurIPS 2024GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
508. NeurIPS 2024GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
509. NeurIPS 2024Graph Edit Distance with General Costs Using Neural Set Divergence
510. NeurIPS 2024GTA: A Benchmark for General Tool Agents
511. NeurIPS 2024GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
512. NeurIPS 2024Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
513. NeurIPS 2024HonestLLM: Toward an Honest and Helpful Large Language Model
514. NeurIPS 2024I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
515. NeurIPS 2024Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces
516. NeurIPS 2024Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
517. NeurIPS 2024Localizing Memorization in SSL Vision Encoders
518. NeurIPS 2024Metric Space Magnitude for Evaluating the Diversity of Latent Representations
519. NeurIPS 2024Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
520. NeurIPS 2024MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
521. NeurIPS 2024MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
522. NeurIPS 2024Needle In A Multimodal Haystack
523. NeurIPS 2024No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
524. NeurIPS 2024Nonparametric Evaluation of Noisy ICA Solutions
525. NeurIPS 2024OpenCDA-Loop: A Closed-loop Benchmarking Platform for End-to-end Evaluation of Cooperative Perception
526. NeurIPS 2024OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
527. NeurIPS 2024Overcoming Common Flaws in the Evaluation of Selective Classification Systems
528. NeurIPS 2024Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
529. NeurIPS 2024Post-Hoc Reversal: Are We Selecting Models Prematurely?
530. NeurIPS 2024Prediction-Powered Ranking of Large Language Models
531. NeurIPS 2024Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
532. NeurIPS 2024RanDumb: Random Representations Outperform Online Continually Learned Representations
533. NeurIPS 2024RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
534. NeurIPS 2024Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality
535. NeurIPS 2024Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
536. NeurIPS 2024Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data
537. NeurIPS 2024RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
538. NeurIPS 2024RMLR: Extending Multinomial Logistic Regression into General Geometries
539. NeurIPS 2024Scalable DBSCAN with Random Projections
540. NeurIPS 2024Should We Really Edit Language Models? On the Evaluation of Edited Language Models
541. NeurIPS 2024Statistical Multicriteria Benchmarking via the GSD-Front
542. NeurIPS 2024Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models
543. NeurIPS 2024SubjECTive-QA: A dataset for the subjective evaluation of answers in Earnings Call Transcripts (ECTs)
544. NeurIPS 2024Task Me Anything
545. NeurIPS 2024Task-oriented Time Series Imputation Evaluation via Generalized Representers
546. NeurIPS 2024The Art of Saying No: Contextual Noncompliance in Language Models
547. NeurIPS 2024To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation
548. NeurIPS 2024Towards a Scalable Reference-Free Evaluation of Generative Models
549. NeurIPS 2024Towards Explainable Evaluation Metrics for Machine Translation
550. NeurIPS 2024Unveiling the Tapestry of Consistency in Large Vision-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.