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

270 papers, page 4 of 6

151. NeurIPS 2025Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
152. NeurIPS 2025SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
153. NeurIPS 2025SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
154. NeurIPS 2025Tackling Biased Evaluators in Dueling Bandits
155. NeurIPS 2025The Impact of Coreset Selection on Spurious Correlations and Group Robustness
156. NeurIPS 2025The Leaderboard Illusion
157. NeurIPS 2025The Underappreciated Power of Vision Models for Graph Structural Understanding
158. NeurIPS 2025ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning
159. NeurIPS 2025Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining
160. NeurIPS 2025Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking
161. NeurIPS 2025Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
162. NeurIPS 2025Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis
163. NeurIPS 2025Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds
164. NeurIPS 2025TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
165. NeurIPS 2025Tree-Sliced Entropy Partial Transport
166. NeurIPS 2025TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
167. NeurIPS 2025Ultrametric Cluster Hierarchies: I Want ‘em All!
168. NeurIPS 2025Uncertainty Estimation by Flexible Evidential Deep Learning
169. NeurIPS 2025Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
170. NeurIPS 2025Valid Inference with Imperfect Synthetic Data
171. NeurIPS 2025Validating LLM-as-a-Judge Systems under Rating Indeterminacy
172. NeurIPS 2025VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR
173. NeurIPS 2025Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
174. NeurIPS 2025VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
175. NeurIPS 2025VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs
176. NeurIPS 2025Web-Scale Collection of Video Data for 4D Animal Reconstruction
177. NeurIPS 2025What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models
178. NeurIPS 2025Why Do Multi-Agent LLM Systems Fail?
179. NeurIPS 2025Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications
180. NeurIPS 2025XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
181. NeurIPS 2025YEAST: Yet Another Sequential Test
182. NeurIPS 2024Accuracy is Not All You Need
183. NeurIPS 2024Active Learning of General Halfspaces: Label Queries vs Membership Queries
184. NeurIPS 2024Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
185. NeurIPS 2024Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
186. NeurIPS 2024Algorithmic progress in language models
187. NeurIPS 2024An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
188. NeurIPS 2024Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
189. NeurIPS 2024Are Language Models Actually Useful for Time Series Forecasting?
190. NeurIPS 2024Benchmark Data Repositories for Better Benchmarking
191. NeurIPS 2024BertaQA: How Much Do Language Models Know About Local Culture?
192. NeurIPS 2024Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?
193. NeurIPS 2024Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
194. NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
195. NeurIPS 2024Contrastive dimension reduction: when and how?
196. NeurIPS 2024DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
197. NeurIPS 2024Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
198. NeurIPS 2024Efficient Lifelong Model Evaluation in an Era of Rapid Progress
199. NeurIPS 2024Efficient multi-prompt evaluation of LLMs
200. NeurIPS 2024Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

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.