社会层面 · fairness论文趋势 2023–2026

主要结论

• 社会层面 · fairness论文从 2023 年的 36 篇增长到 2026 年的 111 篇，三年间扩大到约 3.1 倍。
• NeurIPS 是发社会层面 · fairness论文最多的会议，2023–2026 年共 180 篇，占四个会议总量的 50%。
• 交叉方向里涨得最快的是社会层面 · safety：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 56 篇。
• 在「对齐与负责任 AI」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的社会层面 · safety是 93 倍，社会层面 · fairness是 3.1 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 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
• ICML 2026A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
• ICLR 2026Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts
• CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
• NeurIPS 2025Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
• ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
• ICLR 2025Prompting Fairness: Integrating Causality to Debias Large Language Models
• CVPR 2025Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
• NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
• ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
• ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
• CVPR 2024Preserving Fairness Generalization in Deepfake Detection
• NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
• ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
• ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
• CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
• NeurIPS 2026Chatter Attack: Resource Consumption Attack for Large Language Models
• ICML 2026Adaptive Generation of Bias-Eliciting Questions for LLMs
• ICLR 2026Bi-Criteria Metric Distortion
• CVPR 2026Decoupling Bias Aligning Distributions Synergistic Fairness Optimization for Deepfake Detection

全部社会层面 · fairness论文

共 61 篇，第 1 / 2 页

1. ICML 2025"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
2. ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
3. ICML 2025Accelerating Spectral Clustering under Fairness Constraints
4. ICML 2025Automatically Interpreting Millions of Features in Large Language Models
5. ICML 2025B-score: Detecting biases in large language models using response history
6. ICML 2025Causal Logistic Bandits with Counterfactual Fairness Constraints
7. ICML 2025Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
8. ICML 2025Correlated Errors in Large Language Models
9. ICML 2025DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
10. ICML 2025Detecting Strategic Deception with Linear Probes
11. ICML 2025Discovering Spoofing Attempts on Language Model Watermarks
12. ICML 2025Disparate Conditional Prediction in Multiclass Classifiers
13. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
14. ICML 2025Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
15. ICML 2025ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
16. ICML 2025Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
17. ICML 2025FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
18. ICML 2025Fair Clustering via Alignment
19. ICML 2025FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
20. ICML 2025Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
21. ICML 2025Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
22. ICML 2025Fast Estimation of Partial Dependence Functions using Trees
23. ICML 2025FDGen: A Fairness-Aware Graph Generation Model
24. ICML 2025From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
25. ICML 2025Generative Social Choice: The Next Generation
26. ICML 2025Graph Inverse Style Transfer for Counterfactual Explainability
27. ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
28. ICML 2025Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
29. ICML 2025KGMark: A Diffusion Watermark for Knowledge Graphs
30. ICML 2025Learning Classifiers That Induce Markets
31. ICML 2025Learning to Route LLMs with Confidence Tokens
32. ICML 2025Leveraging Predictive Equivalence in Decision Trees
33. ICML 2025LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
34. ICML 2025Mind the Gap: A Practical Attack on GGUF Quantization
35. ICML 2025Multiaccuracy and Multicalibration via Proxy Groups
36. ICML 2025On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness
37. ICML 2025On the Impact of Performative Risk Minimization for Binary Random Variables
38. ICML 2025Optimal Fair Learning Robust to Adversarial Distribution Shift
39. ICML 2025Policy Design for Two-sided Platforms with Participation Dynamics
40. ICML 2025Position: LLM Social Simulations Are a Promising Research Method
41. ICML 2025Position: The Categorization of Race in ML is a Flawed Premise
42. ICML 2025Prediction via Shapley Value Regression
43. ICML 2025Preserving AUC Fairness in Learning with Noisy Protected Groups
44. ICML 2025Relative Error Fair Clustering in the Weak-Strong Oracle Model
45. ICML 2025Representative Ranking for Deliberation in the Public Sphere
46. ICML 2025Selective Preference Aggregation
47. ICML 2025Settling the Maximin Share Fairness for Scheduling among Groups of Machines
48. ICML 2025Statistical Collusion by Collectives on Learning Platforms
49. ICML 2025Subgroups Matter for Robust Bias Mitigation
50. ICML 2025Tensor Product Neural Networks for Functional ANOVA Model

常见问题

2023–2026 年四大会议一共有多少篇社会层面 · fairness论文？

共 358 篇，按年份分别是 2023 年 36 篇、2024 年 79 篇、2025 年 132 篇、2026 年 111 篇。

NeurIPS 2026 有多少篇社会层面 · fairness论文？

NeurIPS 2026 有 43 篇社会层面 · fairness论文，上一届是 62 篇。

ICLR 2026 有多少篇社会层面 · fairness论文？

ICLR 2026 有 4 篇社会层面 · fairness论文，上一届是 8 篇。

ICML 2026 有多少篇社会层面 · fairness论文？

ICML 2026 有 60 篇社会层面 · fairness论文，上一届是 61 篇。

CVPR 2026 有多少篇社会层面 · fairness论文？

CVPR 2026 有 4 篇社会层面 · fairness论文，上一届是 1 篇。

哪个会议的社会层面 · fairness论文最多？

NeurIPS，2023–2026 年共 180 篇。