对齐与安全论文趋势 2023–2026

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。

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 1,339 篇，第 23 / 27 页

1101. ICLR 2024Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
1102. ICLR 2024Aligning Relational Learning with Lipschitz Fairness
1103. ICLR 2024An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
1104. ICLR 2024An Emulator for Fine-tuning Large Language Models using Small Language Models
1105. ICLR 2024An Investigation of Representation and Allocation Harms in Contrastive Learning
1106. ICLR 2024An Unforgeable Publicly Verifiable Watermark for Large Language Models
1107. ICLR 2024ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
1108. ICLR 2024ARGS: Alignment as Reward-Guided Search
1109. ICLR 2024AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
1110. ICLR 2024Backdoor Contrastive Learning via Bi-level Trigger Optimization
1111. ICLR 2024BadEdit: Backdooring Large Language Models by Model Editing
1112. ICLR 2024Benchmarking and Improving Generator-Validator Consistency of Language Models
1113. ICLR 2024Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment
1114. ICLR 2024Beyond Memorization: Violating Privacy via Inference with Large Language Models
1115. ICLR 2024Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
1116. ICLR 2024Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
1117. ICLR 2024Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
1118. ICLR 2024Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
1119. ICLR 2024BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK
1120. ICLR 2024Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
1121. ICLR 2024CAS: A Probability-Based Approach for Universal Condition Alignment Score
1122. ICLR 2024Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
1123. ICLR 2024Chain of Hindsight aligns Language Models with Feedback
1124. ICLR 2024Classification with Conceptual Safeguards
1125. ICLR 2024Compositional Preference Models for Aligning LMs
1126. ICLR 2024Compressing LLMs: The Truth is Rarely Pure and Never Simple
1127. ICLR 2024Confidential-DPproof: Confidential Proof of Differentially Private Training
1128. ICLR 2024Confronting Reward Model Overoptimization with Constrained RLHF
1129. ICLR 2024Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
1130. ICLR 2024Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
1131. ICLR 2024Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
1132. ICLR 2024CPPO: Continual Learning for Reinforcement Learning with Human Feedback
1133. ICLR 2024Curiosity-driven Red-teaming for Large Language Models
1134. ICLR 2024Debiasing Attention Mechanism in Transformer without Demographics
1135. ICLR 2024Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
1136. ICLR 2024Defining and extracting generalizable interaction primitives from DNNs
1137. ICLR 2024Demonstration-Regularized RL
1138. ICLR 2024DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
1139. ICLR 2024Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
1140. ICLR 2024Detecting Pretraining Data from Large Language Models
1141. ICLR 2024Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
1142. ICLR 2024DP-SGD Without Clipping: The Lipschitz Neural Network Way
1143. ICLR 2024Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
1144. ICLR 2024Effective and Efficient Federated Tree Learning on Hybrid Data
1145. ICLR 2024Enabling Lanuguage Models to Implicitly Learn Self-Improvement
1146. ICLR 2024Eureka: Human-Level Reward Design via Coding Large Language Models
1147. ICLR 2024Expressivity of ReLU-Networks under Convex Relaxations
1148. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
1149. ICLR 2024Fair and Efficient Contribution Valuation for Vertical Federated Learning
1150. ICLR 2024Faster Approximation of Probabilistic and Distributional Values via Least Squares

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。