社会层面 · safety论文趋势 2023–2026
AI 社会议题：safety
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 688 篇被归入该主题的论文。
主要结论
- 社会层面 · safety论文从 2023 年的 4 篇增长到 2026 年的 370 篇，三年间扩大到约 93 倍。
- ICML 是发社会层面 · safety论文最多的会议，2023–2026 年共 364 篇，占四个会议总量的 53%。
- 交叉方向里涨得最快的是对齐与安全：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 137 篇。
- 在「对齐与负责任 AI」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的社会层面 · privacy是 6.6 倍，社会层面 · safety是 93 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 2 | 0 | 2 | 0 | 4 |
| 2024 | 23 | 11 | 6 | 1 | 41 |
| 2025 | 131 | 11 | 130 | 1 | 273 |
| 2026 | 121 | 20 | 226 | 3 | 370 |
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 2026BarrierSteer: LLM Safety via Learning Barrier Steering
- ICML 2026Anti-Backdoor Coreset Selection via Cumulative Entropy
- ICLR 2026Bi-Criteria Metric Distortion
- CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
- NeurIPS 2025Safety Pretraining: Toward the Next Generation of Safe AI
- ICML 2025$S^2$FGL: Spatial Spectral Federated Graph Learning
- ICLR 2025The Hidden Cost of Waiting for Accurate Predictions
- CVPR 2025Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
- NeurIPS 2024Quantifying the Bitter Lesson: How Safety Benchmarks Measure Capabilities Instead of Safety
- ICML 2024Optimally Improving Cooperative Learning in a Social Setting
- ICLR 2024The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- CVPR 2024Digital Life Project: Autonomous 3D Characters with Social Intelligence
- NeurIPS 2023Strategyproof Voting under Correlated Beliefs
- ICML 2023Adaptive Coordination in Social Embodied Rearrangement
- NeurIPS 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
- ICML 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
- ICLR 2026PRISON: Unmasking the Criminal Potential of Large Language Models
- CVPR 2026Spot The Ball A Benchmark for Visual Social Inference
- NeurIPS 2025SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
- ICML 2025Adversaries Can Misuse Combinations of Safe Models
全部社会层面 · safety论文
共 688 篇，第 14 / 14 页
- ICLR 2024Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
- ICLR 2024The Alignment Problem from a Deep Learning Perspective
- ICLR 2024The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- ICLR 2024Training Socially Aligned Language Models on Simulated Social Interactions
- ICLR 2024Unprocessing Seven Years of Algorithmic Fairness
- ICML 2024AI Control: Improving Safety Despite Intentional Subversion
- ICML 2024Optimally Improving Cooperative Learning in a Social Setting
- ICML 2024Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
- ICML 2024Run-Time Task Composition with Safety Semantics
- ICML 2024Scalable AI Safety via Doubly-Efficient Debate
- ICML 2024Truly No-Regret Learning in Constrained MDPs
- NeurIPS 2024Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction
- NeurIPS 2024Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
- NeurIPS 2024Can Simple Averaging Defeat Modern Watermarks?
- NeurIPS 2024Computational Aspects of Bayesian Persuasion under Approximate Best Response
- NeurIPS 2024Confidence Calibration of Classifiers with Many Classes
- NeurIPS 2024Conformalized Multiple Testing after Data-dependent Selection
- NeurIPS 2024Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
- NeurIPS 2024DarkSAM: Fooling Segment Anything Model to Segment Nothing
- NeurIPS 2024Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
- NeurIPS 2024Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
- NeurIPS 2024Large Language Model Unlearning via Embedding-Corrupted Prompts
- NeurIPS 2024Learning Social Welfare Functions
- NeurIPS 2024Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
- NeurIPS 2024Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
- NeurIPS 2024Motif-oriented influence maximization for viral marketing in large-scale social networks
- NeurIPS 2024Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
- NeurIPS 2024Quantifying the Bitter Lesson: How Safety Benchmarks Measure Capabilities Instead of Safety
- NeurIPS 2024RedCode: Multi-dimensional Safety Benchmark for Code Agents
- NeurIPS 2024Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models
- NeurIPS 2024Safety through feedback in Constrained RL
- NeurIPS 2024Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
- NeurIPS 2024Uncovering Safety Risks of Large Language Models through Concept Activation Vector
- NeurIPS 2024Using Noise to Infer Aspects of Simplicity Without Learning
- ICML 2023Adaptive Coordination in Social Embodied Rearrangement
- ICML 2023Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
- NeurIPS 2023Strategyproof Voting under Correlated Beliefs
- NeurIPS 2023Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
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 · safety在 ICML 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-safety"}
常见问题
- 2023–2026 年四大会议一共有多少篇社会层面 · safety论文？
- 共 688 篇，按年份分别是 2023 年 4 篇、2024 年 41 篇、2025 年 273 篇、2026 年 370 篇。
- NeurIPS 2026 有多少篇社会层面 · safety论文？
- NeurIPS 2026 有 121 篇社会层面 · safety论文，上一届是 131 篇。
- ICLR 2026 有多少篇社会层面 · safety论文？
- ICLR 2026 有 20 篇社会层面 · safety论文，上一届是 11 篇。
- ICML 2026 有多少篇社会层面 · safety论文？
- ICML 2026 有 226 篇社会层面 · safety论文，上一届是 130 篇。
- CVPR 2026 有多少篇社会层面 · safety论文？
- CVPR 2026 有 3 篇社会层面 · safety论文，上一届是 1 篇。
- 哪个会议的社会层面 · safety论文最多？
- ICML，2023–2026 年共 364 篇。