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 7 / 14 页
- NeurIPS 2026Idempotency Exposes Consistency Problems in Sparse Autoencoders
- NeurIPS 2026Integral Probability Boundaries
- NeurIPS 2026Internal Safety Collapse in Frontier Large Language Models
- NeurIPS 2026Jaguar: Fast Private CNN Inference with Power-of-Two Homomorphic Arithmetic
- NeurIPS 2026JailBound: A FOL-Guided Jailbreak Evaluation Framework for Revealing Safety Boundaries of LLMs
- NeurIPS 2026Learning Reach-Set Geometry for Tighter Probabilistic Neural Network Verification
- NeurIPS 2026LiSA: Lifelong Safety Adaptation via Conservative Policy Induction
- NeurIPS 2026LLM Alignment--Utility Asymmetry under Semantic-Preserving Transformations
- NeurIPS 2026LLM Rheology: Auditing Refusal Geometry in Aligned Language Models
- NeurIPS 2026Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
- NeurIPS 2026Loyalty Capture: Reporting Relationships and Structural Sycophancy in Frontier AI Models
- NeurIPS 2026Making Open-Source Text LLM Watermarks Durable Against Merging
- NeurIPS 2026MarkTune: Improving the Quality-Detectability Trade-off in Model-Embedded LLM Watermarking
- NeurIPS 2026MedMisBench: Measuring Epistemic Resilience of LLMs Under Misleading Medical Context
- NeurIPS 2026Metaphor Is Not All Attention Needs
- NeurIPS 2026Mitigating Memorization Where It Happens
- NeurIPS 2026Models Designed to Forget: Machine Unlearning via Key Deletion
- NeurIPS 2026Models That Know How Evaluations Are Designed Score Safer
- NeurIPS 2026Monitoring the Internal Monologue: Probe Trajectories Reveal Reasoning Dynamics
- NeurIPS 2026MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents
- NeurIPS 2026Multilingual Safety Alignment via Self-Distillation
- NeurIPS 2026Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again
- NeurIPS 2026MUTE: Multi-Level Alignment Uncoupling Against Talking-Head Exploitation for Voice Protection
- NeurIPS 2026On the Burden of Achieving Fairness in Conformal Prediction
- NeurIPS 2026Online Differentially Private Consistent Clustering
- NeurIPS 2026Optimal Rates for Differentially Private Hypothesis Testing with E-values
- NeurIPS 2026Optimizing Social Utility in Sequential Experiments
- NeurIPS 2026Parasite Features: Causal Abstraction Through Spurious Pathways
- NeurIPS 2026PDHFormer: Progressive Dual-Head Transformer for Behavioral Choice Prediction
- NeurIPS 2026Persona-Model Collapse in Emergent Misalignment
- NeurIPS 2026PrivateSeal: Low-Sensitivity Latent Directions for Diffusion-Resilient User-Specific Watermarking
- NeurIPS 2026PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety
- NeurIPS 2026Prompts to Proxies: Emulating Human Preferences via a Compact LLM Ensemble
- NeurIPS 2026Provable Explanations for Any-Order Neural Additive Models
- NeurIPS 2026ReasoningShield: Safety Moderation over Reasoning Traces of Large Reasoning Models
- NeurIPS 2026Rep2Text: Decoding Full Text from a Single LLM Token Representation
- NeurIPS 2026Retain-Neutral Surrogates for Min-Max Unlearning
- NeurIPS 2026Risks Create a Jagged Frontier of LLM Productivity Gains Across Computer Occupations
- NeurIPS 2026Rubric-Align: Safety Alignment through Dynamically Co-Evolving Rubrics
- NeurIPS 2026Safe Linear Bandits with Unknown Safety Gaps
- NeurIPS 2026Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
- NeurIPS 2026SAVeR$^2$: Reasoning-based Safety Alignment for Large Reasoning Models via Verifiable Rewards
- NeurIPS 2026Scalable Neural Safety Certification via Monotonicity
- NeurIPS 2026SciHazard: A Benchmark for Measuring Scientific Safety Risks with Decomposed Harm Scoring
- NeurIPS 2026SecureClaw: Clawing Back Control of LLM Agents
- NeurIPS 2026Selective Safety Steering via Value-Filtered Decoding
- NeurIPS 2026Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts
- NeurIPS 2026StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs
- NeurIPS 2026T2V-AttnDisrupt: Inducing Hallucinations in LVLMs via Misrouting Visual Evidence Retrieval
- NeurIPS 2026TailGuard: Subgroup Tail Coverage Theory for Safe LLM Alignment
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。