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 370 篇,第 1 / 8 页
- CVPR 2026Breaking Multimodal LLM Safety via Video-Driven Prompting
- CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
- CVPR 2026Spot The Ball A Benchmark for Visual Social Inference
- ICLR 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
- ICLR 2026Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth
- ICLR 2026Beyond Linear Probes: Dynamic Safety Monitoring for Language Models
- ICLR 2026Bi-Criteria Metric Distortion
- ICLR 2026Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
- ICLR 2026GAVEL: Towards Rule-Based Safety through Activation Monitoring
- ICLR 2026GradShield: Alignment Preserving Finetuning
- ICLR 2026GuardAlign: Robust Safety Alignment in Multimodal Large Language Models
- ICLR 2026Invisible Safety Threat: Malicious Finetuning for LLM via Steganography
- ICLR 2026OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!
- ICLR 2026On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment
- ICLR 2026PRISON: Unmasking the Criminal Potential of Large Language Models
- ICLR 2026ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMs
- ICLR 2026Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-Check
- ICLR 2026Reward Models Inherit Value Biases from Pretraining
- ICLR 2026Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study
- ICLR 2026Social Agents: Collective Intelligence Improves LLM Predictions
- ICLR 2026Steering Language Models with Weight Arithmetic
- ICLR 2026Superficial Safety Alignment Hypothesis
- ICLR 2026When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment
- ICML 2026A Geometric Analysis of Small-sized Language Model Hallucinations
- ICML 2026A New Framework for Cybersecurity Refusals in AI Agents
- ICML 2026A Positive Case for Faithfulness: Explanations Help Predict Model Behavior
- ICML 2026A Unified Framework for Diffusion Model Unlearning with f-Divergence
- ICML 2026A-MemGuard: A Proactive Defense Framework For LLM-Based Agent Memory
- ICML 2026ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
- ICML 2026Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models
- ICML 2026Agentic Confidence Calibration
- ICML 2026AIR: Improving Agent Safety through Incident Response
- ICML 2026Algorithmic Recourse of In-Context Learning for Tabular Data
- ICML 2026Ambiguous Strategic Classification
- ICML 2026An Odd Estimator for Shapley Values
- ICML 2026Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model
- ICML 2026Anti-Backdoor Coreset Selection via Cumulative Entropy
- ICML 2026Architecture Matters for Multi-Agent Security
- ICML 2026Are Your Agents Upward Deceivers?
- ICML 2026At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization
- ICML 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
- ICML 2026Automatically Finding Reward Model Biases
- ICML 2026Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
- ICML 2026Beyond Additive Decompositions: Interpretability Through Separability
- ICML 2026Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
- ICML 2026Beyond Pixels: Mining Compressed Domain Artifacts for Efficient AI-Generated Video Detection
- ICML 2026Biases in the Blind Spot: Detecting What LLMs Fail to Mention
- ICML 2026BlueCodeAgent: A Blue Teaming Agent Powered by Automated Red Teaming for CodeGen AI
- ICML 2026Broadening the Backdoor Basin: Understanding LLM Backdoors Collapse and Making Backdoors Persistent
- ICML 2026Building Reliable Long-Form Generation via Hallucination Rejection Sampling
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。