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 1,421 篇,第 22 / 29 页
- NeurIPS 2024FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
- NeurIPS 2024FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
- NeurIPS 2024Few-Shot Adversarial Prompt Learning on Vision-Language Models
- NeurIPS 2024Fight Back Against Jailbreaking via Prompt Adversarial Tuning
- NeurIPS 2024FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
- NeurIPS 2024FLAME : Factuality-Aware Alignment for Large Language Models
- NeurIPS 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
- NeurIPS 2024From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
- NeurIPS 2024From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
- NeurIPS 2024FUGAL: Feature-fortified Unrestricted Graph Alignment
- NeurIPS 2024Full-Distance Evasion of Pedestrian Detectors in the Physical World
- NeurIPS 2024Generalizable Person Re-identification via Balancing Alignment and Uniformity
- NeurIPS 2024Geometric-Averaged Preference Optimization for Soft Preference Labels
- NeurIPS 2024Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
- NeurIPS 2024Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
- NeurIPS 2024GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
- NeurIPS 2024Group Robust Preference Optimization in Reward-free RLHF
- NeurIPS 2024Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
- NeurIPS 2024HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
- NeurIPS 2024HelpSteer 2: Open-source dataset for training top-performing reward models
- NeurIPS 2024HonestLLM: Toward an Honest and Helpful Large Language Model
- NeurIPS 2024Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
- NeurIPS 2024HuRef: HUman-REadable Fingerprint for Large Language Models
- NeurIPS 2024Imitating Language via Scalable Inverse Reinforcement Learning
- NeurIPS 2024Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs
- NeurIPS 2024Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
- NeurIPS 2024Improved Generation of Adversarial Examples Against Safety-aligned LLMs
- NeurIPS 2024Improving Alignment and Robustness with Circuit Breakers
- NeurIPS 2024Improving Context-Aware Preference Modeling for Language Models
- NeurIPS 2024Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective
- NeurIPS 2024Improving Subgroup Robustness via Data Selection
- NeurIPS 2024INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
- NeurIPS 2024InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
- NeurIPS 2024Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
- NeurIPS 2024Interpreting Learned Feedback Patterns in Large Language Models
- NeurIPS 2024Invisible Image Watermarks Are Provably Removable Using Generative AI
- NeurIPS 2024Iterative Reasoning Preference Optimization
- NeurIPS 2024JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
- NeurIPS 2024Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
- NeurIPS 2024Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
- NeurIPS 2024Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
- NeurIPS 2024Kernel PCA for Out-of-Distribution Detection
- NeurIPS 2024Label Alignment Regularization for Distribution Shift
- NeurIPS 2024LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
- NeurIPS 2024LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image
- NeurIPS 2024Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
- NeurIPS 2024Large Language Model Unlearning
- NeurIPS 2024Large Language Model Unlearning via Embedding-Corrupted Prompts
- NeurIPS 2024Large language model validity via enhanced conformal prediction methods
- NeurIPS 2024Latent Functional Maps: a spectral framework for representation 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。