General ML · evaluation papers, 2023–2026
General machine learning: evaluation
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 606 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 18 | 17 | 11 | 7 | 53 |
| 2024 | 71 | 16 | 22 | 6 | 115 |
| 2025 | 124 | 19 | 58 | 7 | 208 |
| 2026 | 57 | 19 | 148 | 6 | 230 |
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
270 papers, page 3 of 6
- NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
- NeurIPS 2025Fantastic Bugs and Where to Find Them in AI Benchmarks
- NeurIPS 2025FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
- NeurIPS 2025Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
- NeurIPS 2025Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
- NeurIPS 2025Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
- NeurIPS 2025Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking
- NeurIPS 2025Fully Dynamic Algorithms for Chamfer Distance
- NeurIPS 2025Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals
- NeurIPS 2025HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class
- NeurIPS 2025Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity
- NeurIPS 2025How Benchmark Prediction from Fewer Data Misses the Mark
- NeurIPS 2025How many measurements are enough? Bayesian recovery in inverse problems with general distributions
- NeurIPS 2025ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
- NeurIPS 2025KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation
- NeurIPS 2025KScope: A Framework for Characterizing the Knowledge Status of Language Models
- NeurIPS 2025Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
- NeurIPS 2025MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation
- NeurIPS 2025Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
- NeurIPS 2025Measuring AI Ability to Complete Long Software Tasks
- NeurIPS 2025Measuring what Matters: Construct Validity in Large Language Model Benchmarks
- NeurIPS 2025MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
- NeurIPS 2025MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM
- NeurIPS 2025MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference
- NeurIPS 2025MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
- NeurIPS 2025ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
- NeurIPS 2025More of the Same: Persistent Representational Harms Under Increased Representation
- NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
- NeurIPS 2025MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence
- NeurIPS 2025Neural Fractional Attention Differential Equations
- NeurIPS 2025Non-rectangular Robust MDPs with Normed Uncertainty Sets
- NeurIPS 2025nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning
- NeurIPS 2025On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
- NeurIPS 2025On the Hardness of Conditional Independence Testing In Practice
- NeurIPS 2025ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
- NeurIPS 2025ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints
- NeurIPS 2025PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
- NeurIPS 2025Pessimistic Data Integration for Policy Evaluation
- NeurIPS 2025QUT-DV25: A Dataset for Dynamic Analysis of Next-Gen Software Supply Chain Attacks
- NeurIPS 2025RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics
- NeurIPS 2025Rethinking Verification for LLM Code Generation: From Generation to Testing
- NeurIPS 2025Robust Regression of General ReLUs with Queries
- NeurIPS 2025RvLLM: LLM Runtime Verification with Domain Knowledge
- NeurIPS 2025Scalable Evaluation and Neural Models for Compositional Generalization
- NeurIPS 2025SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks
- NeurIPS 2025SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks
- NeurIPS 2025SHGR: A Generalized Maximal Correlation Coefficient
- NeurIPS 2025Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
- NeurIPS 2025Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator
- NeurIPS 2025Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families
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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.