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 1,882 篇,第 8 / 38 页

  1. ICLR 2026Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
  2. ICLR 2026D&R: Recovery-based AI-Generated Text Detection via a Single Black-box LLM Call
  3. ICLR 2026Data Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
  4. ICLR 2026Data Selection for LLM Alignment Using Fine-Grained Preferences
  5. ICLR 2026DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning
  6. ICLR 2026Decomposing Extrapolative Problem Solving: Spatial Transfer and Length Scaling with Map Worlds
  7. ICLR 2026Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
  8. ICLR 2026Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
  9. ICLR 2026Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios
  10. ICLR 2026Defending against Backdoor Attacks via Module Switching
  11. ICLR 2026DeRaDiff: Denoising Time Realignment of Diffusion Models
  12. ICLR 2026Developmental Federated Tuning: A Cognitive-Inspired Paradigm for Efficient LLM Adaptation
  13. ICLR 2026Differentially Private Domain Discovery
  14. ICLR 2026DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
  15. ICLR 2026Diffusion Alignment as Variataional Expectation-Maximization
  16. ICLR 2026Diffusion Negative Preference Optimization Made Simple
  17. ICLR 2026Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach
  18. ICLR 2026Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild
  19. ICLR 2026Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement
  20. ICLR 2026Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
  21. ICLR 2026Disentangling Length Bias in Preference Learning via Response-Conditioned Modeling
  22. ICLR 2026Disentangling the Factors of Convergence between Brains and Computer Vision Models
  23. ICLR 2026Displacement-Resistant Extensions of DPO with Nonconvex $f$-Divergences
  24. ICLR 2026DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment
  25. ICLR 2026Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models
  26. ICLR 2026Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
  27. ICLR 2026DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration
  28. ICLR 2026Do Large Language Models Know What They Are Capable Of?
  29. ICLR 2026Don't Forget Its Variance! The Minimum Path Variance Principle for Accurate and Stable Score-Based Models
  30. ICLR 2026Don't Shift the Trigger: Robust Gradient Ascent for Backdoor Unlearning
  31. ICLR 2026Doubly-Regressing Approach for Subgroup Fairness
  32. ICLR 2026Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas
  33. ICLR 2026Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning
  34. ICLR 2026DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision
  35. ICLR 2026DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
  36. ICLR 2026DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
  37. ICLR 2026Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
  38. ICLR 2026DrugTrail: Explainable Drug Discovery via Structured Reasoning and Druggability‑Tailored Preference Optimization
  39. ICLR 2026Dual Randomized Smoothing: Beyond Global Noise Variance
  40. ICLR 2026Dual-Branch Representations with Dynamic Gated Fusion and Triple-Granularity Alignment for Deep Multi-View Clustering
  41. ICLR 2026Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation
  42. ICLR 2026Dual-Path Condition Alignment for Diffusion Transformers
  43. ICLR 2026Dual-Space Smoothness for Robust and Balanced LLM Unlearning
  44. ICLR 2026DUET: DISTILLED LLM UNLEARNING FROM AN EFFICIENTLY CONTEXTUALIZED TEACHER
  45. ICLR 2026DuPO: Enabling Reliable Self-Verification via Dual Preference Optimization
  46. ICLR 2026DVLA-RL: Dual-Level Vision–Language Alignment with Reinforcement Learning Gating for Few-Shot Learning
  47. ICLR 2026DynaGuard: A Dynamic Guardian Model With User-Defined Policies
  48. ICLR 2026Dynamic Reflections: Probing Video Representations with Text Alignment
  49. ICLR 2026Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP
  50. ICLR 2026EAMET: ROBUST MASSIVE MODEL EDITING VIA EMBEDDING ALIGNMENT OPTIMIZATION

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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