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 1,421 篇,第 17 / 29 页

  1. NeurIPS 2025Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers
  2. NeurIPS 2025Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions
  3. NeurIPS 2025Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback
  4. NeurIPS 2025Real-DRL: Teach and Learn in Reality
  5. NeurIPS 2025Reasoning as an Adaptive Defense for Safety
  6. NeurIPS 2025Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval
  7. NeurIPS 2025Reconstruction and Secrecy under Approximate Distance Queries
  8. NeurIPS 2025Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling
  9. NeurIPS 2025Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation
  10. NeurIPS 2025Refusal Direction is Universal Across Safety-Aligned Languages
  11. NeurIPS 2025Reinforcement Learning with Backtracking Feedback
  12. NeurIPS 2025Reliably detecting model failures in deployment without labels
  13. NeurIPS 2025RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
  14. NeurIPS 2025ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization
  15. NeurIPS 2025RePO: Understanding Preference Learning Through ReLU-Based Optimization
  16. NeurIPS 2025Residual Stream Analysis of Overfitting And Structural Disruptions
  17. NeurIPS 2025ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning
  18. NeurIPS 2025RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents
  19. NeurIPS 2025Risk Management for Mitigating Benchmark Failure Modes: BenchRisk
  20. NeurIPS 2025Risk-aware Direct Preference Optimization under Nested Risk Measure
  21. NeurIPS 2025Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding
  22. NeurIPS 2025Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
  23. NeurIPS 2025Robust LLM Alignment via Distributionally Robust Direct Preference Optimization
  24. NeurIPS 2025RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization
  25. NeurIPS 2025RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards
  26. NeurIPS 2025SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures
  27. NeurIPS 2025Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback
  28. NeurIPS 2025Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking
  29. NeurIPS 2025SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment
  30. NeurIPS 2025SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism
  31. NeurIPS 2025Safety Depth in Large Language Models: A Markov Chain Perspective
  32. NeurIPS 2025Safety Pretraining: Toward the Next Generation of Safe AI
  33. NeurIPS 2025SafeVid: Toward Safety Aligned Video Large Multimodal Models
  34. NeurIPS 2025SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning
  35. NeurIPS 2025SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
  36. NeurIPS 2025SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts
  37. NeurIPS 2025Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity
  38. NeurIPS 2025Scalable Valuation of Human Feedback through Provably Robust Model Alignment
  39. NeurIPS 2025Scaling and context steer LLMs along the same computational path as the human brain
  40. NeurIPS 2025Scaling Laws For Scalable Oversight
  41. NeurIPS 2025Scaling Unlocks Broader Generation and Deeper Functional Understanding of Proteins
  42. NeurIPS 2025SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions
  43. NeurIPS 2025scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
  44. NeurIPS 2025SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
  45. NeurIPS 2025Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins
  46. NeurIPS 2025Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
  47. NeurIPS 2025Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization
  48. NeurIPS 2025Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization
  49. NeurIPS 2025Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
  50. NeurIPS 2025Semantic-guided Diverse Decoding for Large Language Model

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。

「对齐与负责任 AI」下的其他主题