对齐与安全论文趋势 2023–2026
RLHF、偏好优化、红队与安全对齐
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 4,558 篇被归入该主题的论文。
主要结论
- 对齐与安全论文从 2023 年的 438 篇增长到 2026 年的 1,882 篇,三年间扩大到约 4.3 倍。
- NeurIPS 是发对齐与安全论文最多的会议,2023–2026 年共 1,421 篇,占四个会议总量的 31%。
- 交叉方向里涨得最快的是社会层面 · safety: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 1;同组增长最快的社会层面 · safety是 93 倍,对齐与安全是 4.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 138 | 87 | 101 | 112 | 438 |
| 2024 | 348 | 156 | 246 | 125 | 875 |
| 2025 | 455 | 473 | 300 | 135 | 1,363 |
| 2026 | 480 | 623 | 551 | 228 | 1,882 |
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 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
- ICML 2026AICrypto: Evaluating Cryptography Capabilities of Large Language Models
- ICLR 2026A Fair Bayesian Inference through Matched Gibbs Posterior
- CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and
- NeurIPS 2025$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
- ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
- ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
- CVPR 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
- NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
- ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
- ICLR 2024A unique M-pattern for micro-expression spotting in long videos
- CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
- NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
- ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
- ICLR 2023Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
- CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
- NeurIPS 2026$\mathcal{P}$Torch: Narrowing the Gap Between Projection and Gradient-Based Learning
- ICML 2026Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
- ICLR 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
- CVPR 2026AlignPose Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment
全部对齐与安全论文
共 623 篇,第 12 / 13 页
- ICLR 2026The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment
- ICLR 2026THE SELF-RE-WATERMARKING TRAP: FROM EXPLOIT TO RESILIENCE
- ICLR 2026Thinking as Society: Multi-Social-Agent Self-Distillation for Multimodal Misinformation Detection
- ICLR 2026TileLang: Bridge Programmability and Performance in Modern Neural Kernels
- ICLR 2026Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks
- ICLR 2026Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
- ICLR 2026Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
- ICLR 2026Token-Importance Guided Direct Preference Optimization
- ICLR 2026Token-level Data Selection for Safe LLM Fine-tuning
- ICLR 2026Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning
- ICLR 2026Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
- ICLR 2026Towards Better Optimization For Listwise Preference in Diffusion Models
- ICLR 2026Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
- ICLR 2026Towards Learned Optimization Free Lunch
- ICLR 2026Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
- ICLR 2026Towards Persistent Noise-Tolerant Active Learning of Regular Languages with Class Query
- ICLR 2026Towards Personalized Deep Research: Benchmarks and Evaluations
- ICLR 2026Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting Without Disclosure
- ICLR 2026Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
- ICLR 2026Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
- ICLR 2026Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model
- ICLR 2026Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer
- ICLR 2026Towards Understanding Valuable Preference Data for Large Language Model Alignment
- ICLR 2026Traceable Black-Box Watermarks For Federated Learning
- ICLR 2026Transferable and Stealthy Adversarial Attacks on Large Vision-Language Models
- ICLR 2026Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations
- ICLR 2026Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks
- ICLR 2026TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
- ICLR 2026Trust The Typical
- ICLR 2026Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations
- ICLR 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
- ICLR 2026TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation
- ICLR 2026Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning
- ICLR 2026ULD-Net: Enabling Ultra-Low-Degree Fully Polynomial Networks for Homomorphically Encrypted Inference
- ICLR 2026Understanding and Improving Continuous LLM Adversarial Training via In-context Learning Theory
- ICLR 2026Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness
- ICLR 2026Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
- ICLR 2026UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
- ICLR 2026Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
- ICLR 2026Unifying Stable Optimization and Reference Regularization in RLHF
- ICLR 2026Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs
- ICLR 2026Using cognitive models to reveal value trade-offs in language models
- ICLR 2026Value Gradient Flow: Behavior-Regularized RL without Regularization
- ICLR 2026VeriCoT: Neuro-symbolic Chain-of-Thought Validation via Logical Consistency Checks
- ICLR 2026Verification and Co-Alignment via Heterogeneous Consistency for Preference-Aligned LLM Annotations
- ICLR 2026VERIFY: A Novel Multi-Domain Dataset Grounding LTL in Contextual Natural Language via Provable Intermediate Logic
- ICLR 2026ViPO: Visual Preference Optimization at Scale
- ICLR 2026VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration
- ICLR 2026VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations
- ICLR 2026VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety
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 查对齐与安全在 NeurIPS 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": "alignment-and-safety"}
常见问题
- 2023–2026 年四大会议一共有多少篇对齐与安全论文?
- 共 4,558 篇,按年份分别是 2023 年 438 篇、2024 年 875 篇、2025 年 1,363 篇、2026 年 1,882 篇。
- NeurIPS 2026 有多少篇对齐与安全论文?
- NeurIPS 2026 有 480 篇对齐与安全论文,上一届是 455 篇。
- ICLR 2026 有多少篇对齐与安全论文?
- ICLR 2026 有 623 篇对齐与安全论文,上一届是 473 篇。
- ICML 2026 有多少篇对齐与安全论文?
- ICML 2026 有 551 篇对齐与安全论文,上一届是 300 篇。
- CVPR 2026 有多少篇对齐与安全论文?
- CVPR 2026 有 228 篇对齐与安全论文,上一届是 135 篇。
- 哪个会议的对齐与安全论文最多?
- NeurIPS,2023–2026 年共 1,421 篇。