人机协作论文趋势 2023–2026

主要结论

• 人机协作论文从 2023 年的 72 篇增长到 2026 年的 96 篇，三年间扩大到约 1.3 倍。
• CVPR 是发人机协作论文最多的会议，2023–2026 年共 147 篇，占四个会议总量的 40%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 10 篇。
• 在「教育与交互」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的用户建模是 2.9 倍，人机协作是 1.3 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Budgeting Discretion: Theory and Evidence on Street-Level Decision-Making
• ICML 2026Adaptively Grouped Contextual Bandits for Heterogeneous Human-AI Decision Making with Conformal Prediction Sets
• ICLR 2026AtC: Aggregate-then-Calibrate for Human-centered Assessment
• CVPR 2026BiPreManip Learning Affordance-Based Bimanual Preparatory Manipulation through Anticipatory Collaboration
• NeurIPS 2025Cascaded Language Models for Cost-Effective Human–AI Decision-Making
• ICML 2025Position: When Incentives Backfire, Data Stops Being Human
• ICLR 2025DeLLMa: Decision Making Under Uncertainty with Large Language Models
• CVPR 2025A Focused Human Body Model for Accurate Anthropometric Measurements Extraction
• NeurIPS 2024Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations
• ICML 2024Conformal Prediction Sets Improve Human Decision Making
• ICLR 2024Does Writing with Language Models Reduce Content Diversity?
• CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
• NeurIPS 2023Alexa Arena: A User-Centric Interactive Platform for Embodied AI
• ICML 2023Bigger, Better, Faster: Human-level Atari with human-level efficiency
• 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 2026HuPER: A Human-Inspired Framework for Phonetic Perception
• ICML 2026Controlled Collaboration Geometry for Personalized Federated Learning
• ICLR 2026Conformalized Decision Risk Assessment
• CVPR 2026EgoPoseFormer v2 Accurate Egocentric Human Motion Estimation for ARVR

全部人机协作论文

共 116 篇，第 2 / 3 页

51. ICLR 2024Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
52. ICLR 2024HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
53. ICLR 2024Human Feedback is not Gold Standard
54. ICLR 2024Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
55. ICLR 2024Leveraging Uncertainty Estimates To Improve Classifier Performance
56. ICLR 2024TorchRL: A data-driven decision-making library for PyTorch
57. ICLR 2024Turning large language models into cognitive models
58. ICML 2024A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback
59. ICML 2024Augmenting Decision with Hypothesis in Reinforcement Learning
60. ICML 2024Configurable Mirror Descent: Towards a Unification of Decision Making
61. ICML 2024Conformal Prediction Sets Improve Human Decision Making
62. ICML 2024Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
63. ICML 2024Exploiting Human-AI Dependence for Learning to Defer
64. ICML 2024Fast Decision Boundary based Out-of-Distribution Detector
65. ICML 2024Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
66. ICML 2024Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
67. ICML 2024Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
68. ICML 2024Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary
69. ICML 2024On the Calibration of Human Pose Estimation
70. ICML 2024On The Statistical Complexity of Offline Decision-Making
71. ICML 2024Position: A Call to Action for a Human-Centered AutoML Paradigm
72. ICML 2024Position: Insights from Survey Methodology can Improve Training Data
73. ICML 2024Position: Stop Making Unscientific AGI Performance Claims
74. ICML 2024Position: Will we run out of data? Limits of LLM scaling based on human-generated data
75. ICML 2024Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input
76. ICML 2024Predictive Performance Comparison of Decision Policies Under Confounding
77. ICML 2024ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation
78. ICML 2024Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
79. ICML 2024The Relative Value of Prediction in Algorithmic Decision Making
80. ICML 2024Using AI Uncertainty Quantification to Improve Human Decision-Making
81. NeurIPS 2024A Unifying Normative Framework of Decision Confidence
82. NeurIPS 2024Aligner: Efficient Alignment by Learning to Correct
83. NeurIPS 2024Approaching Human-Level Forecasting with Language Models
84. NeurIPS 2024AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
85. NeurIPS 2024AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
86. NeurIPS 2024Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments
87. NeurIPS 2024Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators
88. NeurIPS 2024CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
89. NeurIPS 2024Collaboration! Towards Robust Neural Methods for Routing Problems
90. NeurIPS 2024Constrained Binary Decision Making
91. NeurIPS 2024Contextual Decision-Making with Knapsacks Beyond the Worst Case
92. NeurIPS 2024Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
93. NeurIPS 2024Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
94. NeurIPS 2024Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
95. NeurIPS 2024GUIDE: Real-Time Human-Shaped Agents
96. NeurIPS 2024Human Expertise in Algorithmic Prediction
97. NeurIPS 2024HuRef: HUman-REadable Fingerprint for Large Language Models
98. NeurIPS 2024Interactive Deep Clustering via Value Mining
99. NeurIPS 2024Learning Human-like Representations to Enable Learning Human Values
100. NeurIPS 2024Learning to Assist Humans without Inferring Rewards

常见问题

2023–2026 年四大会议一共有多少篇人机协作论文？

共 365 篇，按年份分别是 2023 年 72 篇、2024 年 116 篇、2025 年 81 篇、2026 年 96 篇。

NeurIPS 2026 有多少篇人机协作论文？

NeurIPS 2026 有 26 篇人机协作论文，上一届是 28 篇。

ICLR 2026 有多少篇人机协作论文？

ICLR 2026 有 16 篇人机协作论文，上一届是 10 篇。

ICML 2026 有多少篇人机协作论文？

ICML 2026 有 22 篇人机协作论文，上一届是 13 篇。

CVPR 2026 有多少篇人机协作论文？

CVPR 2026 有 32 篇人机协作论文，上一届是 30 篇。

哪个会议的人机协作论文最多？

CVPR，2023–2026 年共 147 篇。