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 180 篇，第 1 / 4 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
  44. NeurIPS 2025A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
  45. NeurIPS 2025Additive Models Explained: A Computational Complexity Approach
  46. NeurIPS 2025Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
  47. NeurIPS 2025Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers
  48. NeurIPS 2025Causally Reliable Concept Bottleneck Models
  49. NeurIPS 2025Correcting misinterpretations of additive models
  50. NeurIPS 2025Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing

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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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