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 364 篇,第 6 / 8 页
- ICML 2025Detecting Strategic Deception with Linear Probes
- ICML 2025DIS-CO: Discovering Copyrighted Content in VLMs Training Data
- ICML 2025Discovering Spoofing Attempts on Language Model Watermarks
- ICML 2025Disparate Conditional Prediction in Multiclass Classifiers
- ICML 2025Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech
- ICML 2025Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
- ICML 2025ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
- ICML 2025Embedding Safety into RL: A New Take on Trust Region Methods
- ICML 2025Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection
- ICML 2025EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
- ICML 2025Evaluating Neuron Explanations: A Unified Framework with Sanity Checks
- ICML 2025Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
- ICML 2025ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
- ICML 2025Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
- ICML 2025Fair Clustering via Alignment
- ICML 2025FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
- ICML 2025Fast Estimation of Partial Dependence Functions using Trees
- ICML 2025Flow Matching for Denoised Social Recommendation
- ICML 2025From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
- ICML 2025Gandalf the Red: Adaptive Security for LLMs
- ICML 2025GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
- ICML 2025Graph Inverse Style Transfer for Counterfactual Explainability
- ICML 2025How Do Transformers Learn Variable Binding in Symbolic Programs?
- ICML 2025Improving LLM Safety Alignment with Dual-Objective Optimization
- ICML 2025Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
- ICML 2025Improving Out-of-Distribution Detection with Markov Logic Networks
- ICML 2025Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning
- ICML 2025InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory
- ICML 2025Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
- ICML 2025Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
- ICML 2025Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
- ICML 2025Learning Classifiers That Induce Markets
- ICML 2025Learning Safety Constraints for Large Language Models
- ICML 2025Learning to Route LLMs with Confidence Tokens
- ICML 2025Leveraging Predictive Equivalence in Decision Trees
- ICML 2025LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
- ICML 2025LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
- ICML 2025MIB: A Mechanistic Interpretability Benchmark
- ICML 2025Mind the Gap: A Practical Attack on GGUF Quantization
- ICML 2025Minimalist Concept Erasure in Generative Models
- ICML 2025Mixture of Experts Made Intrinsically Interpretable
- ICML 2025MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning
- ICML 2025MTL-UE: Learning to Learn Nothing for Multi-Task Learning
- ICML 2025Near-Optimal Decision Trees in a SPLIT Second
- ICML 2025Not All Wrong is Bad: Using Adversarial Examples for Unlearning
- ICML 2025On Explaining Equivariant Graph Networks via Improved Relevance Propagation
- ICML 2025On the Impact of Performative Risk Minimization for Binary Random Variables
- ICML 2025On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
- ICML 2025Optimizing Adaptive Attacks against Watermarks for Language Models
- ICML 2025OR-Bench: An Over-Refusal Benchmark for Large Language Models
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。