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 2 / 14 页
- ICML 2026Calibrating Conservatism for Scalable Oversight
- ICML 2026CapBencher: Give Your LLM Benchmark a Built-in Alarm for Test-Set Overfitting
- ICML 2026Certified Circuits: Stability Guarantees for Mechanistic Circuits
- ICML 2026Collaborative Disagreement Resolution for Scalable Oversight
- ICML 2026Collaborative Threshold Watermarking
- ICML 2026Concept Concentration for Faithful Representation Intervention
- ICML 2026Consistency Training Can Entrench Misalignment
- ICML 2026Constitutional Black-Box Monitoring for Scheming in LLM Agents
- ICML 2026Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
- ICML 2026CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
- ICML 2026Copyright-Bench: Agentic Evaluation of Copyright Law Compliance
- ICML 2026CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection
- ICML 2026Corrigibility Transformation: Constructing Goals That Accept Updates
- ICML 2026CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
- ICML 2026D-Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output Rewriting
- ICML 2026DDIM Inversion as a Perturbation Amplifier: Breaking Mimicry Protection via Reconstruction Error Minimization
- ICML 2026Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models
- ICML 2026Decomposing Query-Key Feature Interactions Using Contrastive Covariances
- ICML 2026Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy Changes
- ICML 2026Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory
- ICML 2026Dimensional Collapse in Transformer Attention Outputs: A Challenge for Sparse Dictionary Learning
- ICML 2026Discovering Implicit Large Language Model Alignment Objectives
- ICML 2026Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding
- ICML 2026Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection
- ICML 2026Dissecting the Safety Circuit: Neuronal Intervention for Transferable Adversarial Attacks on VLMs
- ICML 2026Divergence Decoding: Inference-Time Unlearning via Auxiliary Models
- ICML 2026Do Language Models Track Entities Across State Changes?
- ICML 2026Don't Walk the Line: Boundary Guidance for Filtered Generation
- ICML 2026Dual-branch Robust Unlearnable Examples
- ICML 2026Efficient LLM Moderation with Multi-Layer Latent Prototypes
- ICML 2026EMBGuard: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents
- ICML 2026Emergence of Biased Consensus in Multi-Agent LLM Debates
- ICML 2026Emergence of Hierarchical Emotion Organization in Large Language Models
- ICML 2026Emergent Communication Under Misinformation
- ICML 2026Enhancing Conformal Prediction via Class Similarity
- ICML 2026Ensembling Sparse Autoencoders
- ICML 2026Estimating Tail Risks in Language Model Output Distributions
- ICML 2026Exactly Computing do-Shapley Values
- ICML 2026ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior
- ICML 2026Exploration Hacking: Can LLMs Learn to Resist RL Training?
- ICML 2026Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning
- ICML 2026Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering Attractors
- ICML 2026Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency
- ICML 2026Faithful Mobile GUI Agents with Guided Advantage Estimator
- ICML 2026Falling Trees: A Model Class for Interpretable Risk Prioritization
- ICML 2026Finding Most Influential Sets
- ICML 2026FLARE-AI: Flaw Reporting for AI
- ICML 2026Fleet: Few Shots Lead Effective AI-generated Image Detection
- ICML 2026FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors
- ICML 2026ForceForget: Reinforcement Concept Removal for Enhancing Safety in Text-to-Image 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。