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

每年论文数

各会议论文数

按年份和会议统计

对齐与安全论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202313887101112438
2024348156246125875
20254554733001351,363
20264806235512281,882

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

全部对齐与安全论文

共 455 篇,第 3 / 10 页

  1. NeurIPS 2025Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
  2. NeurIPS 2025DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
  3. NeurIPS 2025Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
  4. NeurIPS 2025DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models
  5. NeurIPS 2025Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization
  6. NeurIPS 2025Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
  7. NeurIPS 2025Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models
  8. NeurIPS 2025Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
  9. NeurIPS 2025Dimensional Collapse in VQVAEs: Evidence and Remedies
  10. NeurIPS 2025Dimensionality Mismatch Between Brains and Artificial Neural Networks
  11. NeurIPS 2025Direct Alignment with Heterogeneous Preferences
  12. NeurIPS 2025Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
  13. NeurIPS 2025Distillation Robustifies Unlearning
  14. NeurIPS 2025Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?
  15. NeurIPS 2025Distributional LLM-as-a-Judge
  16. NeurIPS 2025Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values
  17. NeurIPS 2025DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing
  18. NeurIPS 2025Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
  19. NeurIPS 2025Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
  20. NeurIPS 2025Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
  21. NeurIPS 2025Doubly Robust Alignment for Large Language Models
  22. NeurIPS 2025DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
  23. NeurIPS 2025DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
  24. NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
  25. NeurIPS 2025Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts
  26. NeurIPS 2025Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable
  27. NeurIPS 2025DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
  28. NeurIPS 2025Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
  29. NeurIPS 2025Dynamic Risk Assessments for Offensive Cybersecurity Agents
  30. NeurIPS 2025Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks
  31. NeurIPS 2025Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy
  32. NeurIPS 2025Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
  33. NeurIPS 2025Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design
  34. NeurIPS 2025Elastic Robust Unlearning of Specific Knowledge in Large Language Models
  35. NeurIPS 2025ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
  36. NeurIPS 2025Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems
  37. NeurIPS 2025Enhancing CLIP Robustness via Cross-Modality Alignment
  38. NeurIPS 2025Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
  39. NeurIPS 2025Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
  40. NeurIPS 2025EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
  41. NeurIPS 2025Erasing Conceptual Knowledge from Language Models
  42. NeurIPS 2025Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
  43. NeurIPS 2025ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
  44. NeurIPS 2025ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality
  45. NeurIPS 2025EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
  46. NeurIPS 2025Explainable Reinforcement Learning from Human Feedback to Improve Alignment
  47. NeurIPS 2025Explaining and Mitigating Crosslingual Tokenizer Inequities
  48. NeurIPS 2025Explaining the Law of Supply and Demand via Online Learning
  49. NeurIPS 2025Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
  50. NeurIPS 2025Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning

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"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

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