Human Evaluation papers, 2023–2026

Key findings

• Human Evaluation went from 33 papers in 2023 to 108 in 2026, roughly 3.3x in three years.
• NeurIPS publishes the most Human Evaluation work: 90 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with Datasets and Benchmarks: papers tagged with both rose from 3 in 2023 to 31 in 2026.
• Among the 5 topics under Evaluation and Benchmarks, it ranks #3 by 2026 paper count; the fastest grower in the group, LLM Benchmarks, is up 154x versus 3.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Ad-Hoc Teamwork from Human Demonstrations
• ICML 2026SWE-IF: Aligning Code Evaluation with Human Preference
• ICLR 2026Human-LLM Collaborative Feature Engineering for Tabular Data
• CVPR 2026Bridging Human Evaluation to Infrared and Visible Image Fusion
• NeurIPS 2025Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning
• ICML 2025Position: When Incentives Backfire, Data Stops Being Human
• ICLR 2025Eliciting Human Preferences with Language Models
• CVPR 2025DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework
• NeurIPS 2024DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
• ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
• ICLR 2024Human Feedback is not Gold Standard
• CVPR 2024LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model
• NeurIPS 2023Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
• ICML 2023Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
• ICLR 2023Beyond calibration: estimating the grouping loss of modern neural networks
• CVPR 20233D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels
• NeurIPS 2026AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
• ICML 2026Rethinking Evaluation Paradigms in IBP-based Certified Training
• ICLR 2026Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
• CVPR 2026Ground Reaction Inertial Poser Physics-based Human Motion Capture from Sparse

All Human Evaluation papers

108 papers, page 2 of 3

51. ICML 2026Benchmarking World-Model Learning with Environment-Level Queries
52. ICML 2026Certifying Capabilities from Finite Tests: When Is It Possible?
53. ICML 2026Conversation for Non-verifiable Learning: Self-Evolving Large Language Models through Meta-Evaluation
54. ICML 2026Efficient Inference for Noisy LLM-as-a-Judge Evaluation
55. ICML 2026Expectation Alignment of Language Models for Real-World User Expectations
56. ICML 2026Explanations are a Means to an End: Decision Theoretic Explanation Evaluation
57. ICML 2026FiRE: Fine-grained Ranking Evaluation for Machine Translation
58. ICML 2026GICDM: Mitigating Hubness for Reliable Distance-Based Generative Model Evaluation
59. ICML 2026Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment
60. ICML 2026LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
61. ICML 2026Moving Out: Physically-grounded Human-AI Collaboration
62. ICML 2026Nonparametric LLM Evaluation from Preference Data
63. ICML 2026PerceptionRubrics: Calibrating Multimodal Evaluation to Human Perception
64. ICML 2026QEDBench: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs
65. ICML 2026Query-efficient model evaluation using cached responses
66. ICML 2026Rethinking Evaluation Paradigms in IBP-based Certified Training
67. ICML 2026Reward Modeling from Natural Language Human Feedback
68. ICML 2026STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
69. ICML 2026SWE-IF: Aligning Code Evaluation with Human Preference
70. NeurIPS 2026Ad-Hoc Teamwork from Human Demonstrations
71. NeurIPS 2026AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
72. NeurIPS 2026AIRA 2: Overcoming Bottlenecks in AI Research Agents
73. NeurIPS 2026AMUSE: Anytime Muon with Stable Gradient Evaluation
74. NeurIPS 2026An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
75. NeurIPS 2026BayesJudge: Uncertainty-Aware Bayesian Meta-Evaluation of Human and LLM Judgments
76. NeurIPS 2026BenchRep-T: A Systematic Evaluation of T-Cell Repertoire-Based Disease Diagnostics
77. NeurIPS 2026Beyond Proxy Metrics: MLLM-Based Human Surrogate Evaluation for Explainable AI
78. NeurIPS 2026Correct, Route, Calibrate: Efficient Preference Optimization from Noisy, Heterogeneous Human Feedback
79. NeurIPS 2026Cosine is Human: The Reproducibility Ceiling of Perceptual Similarity
80. NeurIPS 2026Evaluating an Evaluation: Membership Inference Attacks as Machine Unlearning Diagnostics
81. NeurIPS 2026Evaluation of Visual Processing Should Be Human-Centered, Not Metric-Centered
82. NeurIPS 2026From Uncertain Judgments to Calibrated Rankings: Conformal Elo Estimation for LLM Evaluation
83. NeurIPS 2026General Agent Evaluation
84. NeurIPS 2026GT-Free OCR Metrics: A Reference-Free Evaluation Framework for Document OCR Systems
85. NeurIPS 2026Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
86. NeurIPS 2026HearSayBench: Can LLMs Navigate from Abstract Human Rights to Lived Lives?
87. NeurIPS 2026HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data
88. NeurIPS 2026ImageNet FID is a Pass Check, Not a Finish Line
89. NeurIPS 2026Intra-Option Fitted Q-Evaluation: Evaluating Hierarchical Policies from Non-Hierarchical Data
90. NeurIPS 2026Leak-CURBER: A Leakage-Controlled Multimodal Evaluation Benchmark for Enzymatic Reaction Tasks
91. NeurIPS 2026OdysSim: Building Foundation Models for Human Behavior Simulation
92. NeurIPS 2026Off-Policy Evaluation of Large Language Models via Learned Semantic Bottleneck Embeddings
93. NeurIPS 2026OmniMechanism Design for Human-AI Collaboration with Impressionable Minds
94. NeurIPS 2026OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models
95. NeurIPS 2026PhyProbe: Rethinking Physical Consistency Evaluation in Generated Videos
96. NeurIPS 2026Post-Selection Distributional Model Evaluation
97. NeurIPS 2026pyCD: A Unified Benchmark for Reliable Evaluation of Cognitive Diagnosis Models
98. NeurIPS 2026Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation
99. NeurIPS 2026Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
100. NeurIPS 2026SALART-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images

FAQ

How many Human Evaluation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

271 in total: 33 in 2023, 70 in 2024, 60 in 2025, 108 in 2026.

How many Human Evaluation papers are at NeurIPS 2026?

NeurIPS 2026 has 39 Human Evaluation papers, versus 17 the year before.

How many Human Evaluation papers are at ICLR 2026?

ICLR 2026 has 29 Human Evaluation papers, versus 16 the year before.

How many Human Evaluation papers are at ICML 2026?

ICML 2026 has 21 Human Evaluation papers, versus 14 the year before.

How many Human Evaluation papers are at CVPR 2026?

CVPR 2026 has 19 Human Evaluation papers, versus 13 the year before.

Which conference publishes the most Human Evaluation papers?

NeurIPS, with 90 papers from 2023 to 2026.