社会层面 · fairness论文趋势 2023–2026

AI 社会议题：fairness

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 358 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

社会层面 · fairness论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20231987236
202456911379
2025628611132
2026434604111

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

全部社会层面 · fairness论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 43 篇，第 1 / 1 页

  1. NeurIPS 2026A Comprehensive View of Fairness through Distributional Stability
  2. NeurIPS 2026Adversarial Group Fairness in Contextual Bandits: When Robust is Not Fair
  3. NeurIPS 2026AI-Mediated Communication Can Steer Collective Opinion
  4. NeurIPS 2026Auditing Cross-Lingual Fairness in Language Model Watermarking
  5. NeurIPS 2026Beyond Confidence: Rethinking Self-Assessments for Performance Prediction in LLMs
  6. NeurIPS 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
  7. NeurIPS 2026Black-Box Inference of LLM Architectural Properties with Restrictive API Access
  8. NeurIPS 2026CalArena: A Large Scale Post-Hoc Calibration Benchmark
  9. NeurIPS 2026Chatter Attack: Resource Consumption Attack for Large Language Models
  10. NeurIPS 2026Cognitive bias benchmarks should incorporate insights from ecological rationality
  11. NeurIPS 2026Compact Representations of Impact-Based Fair-Ranking Policies
  12. NeurIPS 2026Compressing Collections of Trees with Decision Equivalence
  13. NeurIPS 2026Conceal, Reconstruct, Jailbreak: Exploiting the Reconstruction--Concealment Tradeoff in MLLMs
  14. NeurIPS 2026Cost Efficient Fairness Audit Under Partial Feedback
  15. NeurIPS 2026Embeddings for Preferences, Not Semantics
  16. NeurIPS 2026Escape the Context Manifold: Preventing DiT In-Context Editing via Conditional Flow Hijacking
  17. NeurIPS 2026Finding Interpretable Prompt-Specific Circuits in Language Models
  18. NeurIPS 2026Gradient-Mine Units: Scorched-Earth Strategy for Model Protection against Unauthorized Fine-Tuning
  19. NeurIPS 2026Hierarchical Conformal Classification
  20. NeurIPS 2026How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness
  21. NeurIPS 2026How Likely Are Voting Rules Equitable?
  22. NeurIPS 2026Integral Probability Boundaries
  23. NeurIPS 2026Intersectional Fairness via Mixed-Integer Optimization
  24. NeurIPS 2026Jointly Robust Fairness: Overcoming Simultaneous Label and Attribute Noise
  25. NeurIPS 2026LLM Rheology: Auditing Refusal Geometry in Aligned Language Models
  26. NeurIPS 2026Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
  27. NeurIPS 2026Malicious Node Injection: A Transferable Adversarial Attack on GNN Fairness
  28. NeurIPS 2026Metaphor Is Not All Attention Needs
  29. NeurIPS 2026Nash Social Welfare for Multi Armed Bandits: Trajectory-wise Expected and High Probability Regret
  30. NeurIPS 2026On the Burden of Achieving Fairness in Conformal Prediction
  31. NeurIPS 2026Overcoming the Resolution Limit: Significance-Aware Regularization for Intersectional Fairness
  32. NeurIPS 2026Persona-Model Collapse in Emergent Misalignment
  33. NeurIPS 2026Practical Estimation of the Bayes Optimal Fairness-Accuracy Tradeoff with Soft Labels
  34. NeurIPS 2026PrivateSeal: Low-Sensitivity Latent Directions for Diffusion-Resilient User-Specific Watermarking
  35. NeurIPS 2026Provable Explanations for Any-Order Neural Additive Models
  36. NeurIPS 2026Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
  37. NeurIPS 2026Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales
  38. NeurIPS 2026TensorCommitments: A Lightweight Verifiable Inference for Large Language Models
  39. NeurIPS 2026The Algorithm Is Not the Behavior: Learned Priors Override Look-Ahead in a Chess-Playing Neural Network
  40. NeurIPS 2026The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology
  41. NeurIPS 2026The Panel Complexity of Sortition: Is 12 Angry Men Enough?
  42. NeurIPS 2026Towards Fair Graph Generation Without Sensitive Attribute
  43. NeurIPS 2026Training ML Models with Predictable Failures

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查社会层面 · fairness在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "social-fairness"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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