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 1,339 篇,第 12 / 27 页

  1. ICLR 2026The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment
  2. ICLR 2026THE SELF-RE-WATERMARKING TRAP: FROM EXPLOIT TO RESILIENCE
  3. ICLR 2026Thinking as Society: Multi-Social-Agent Self-Distillation for Multimodal Misinformation Detection
  4. ICLR 2026TileLang: Bridge Programmability and Performance in Modern Neural Kernels
  5. ICLR 2026Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks
  6. ICLR 2026Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
  7. ICLR 2026Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
  8. ICLR 2026Token-Importance Guided Direct Preference Optimization
  9. ICLR 2026Token-level Data Selection for Safe LLM Fine-tuning
  10. ICLR 2026Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning
  11. ICLR 2026Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
  12. ICLR 2026Towards Better Optimization For Listwise Preference in Diffusion Models
  13. ICLR 2026Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
  14. ICLR 2026Towards Learned Optimization Free Lunch
  15. ICLR 2026Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
  16. ICLR 2026Towards Persistent Noise-Tolerant Active Learning of Regular Languages with Class Query
  17. ICLR 2026Towards Personalized Deep Research: Benchmarks and Evaluations
  18. ICLR 2026Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting Without Disclosure
  19. ICLR 2026Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
  20. ICLR 2026Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
  21. ICLR 2026Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model
  22. ICLR 2026Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer
  23. ICLR 2026Towards Understanding Valuable Preference Data for Large Language Model Alignment
  24. ICLR 2026Traceable Black-Box Watermarks For Federated Learning
  25. ICLR 2026Transferable and Stealthy Adversarial Attacks on Large Vision-Language Models
  26. ICLR 2026Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations
  27. ICLR 2026Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks
  28. ICLR 2026TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
  29. ICLR 2026Trust The Typical
  30. ICLR 2026Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations
  31. ICLR 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
  32. ICLR 2026TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation
  33. ICLR 2026Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning
  34. ICLR 2026ULD-Net: Enabling Ultra-Low-Degree Fully Polynomial Networks for Homomorphically Encrypted Inference
  35. ICLR 2026Understanding and Improving Continuous LLM Adversarial Training via In-context Learning Theory
  36. ICLR 2026Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness
  37. ICLR 2026Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
  38. ICLR 2026UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
  39. ICLR 2026Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
  40. ICLR 2026Unifying Stable Optimization and Reference Regularization in RLHF
  41. ICLR 2026Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs
  42. ICLR 2026Using cognitive models to reveal value trade-offs in language models
  43. ICLR 2026Value Gradient Flow: Behavior-Regularized RL without Regularization
  44. ICLR 2026VeriCoT: Neuro-symbolic Chain-of-Thought Validation via Logical Consistency Checks
  45. ICLR 2026Verification and Co-Alignment via Heterogeneous Consistency for Preference-Aligned LLM Annotations
  46. ICLR 2026VERIFY: A Novel Multi-Domain Dataset Grounding LTL in Contextual Natural Language via Provable Intermediate Logic
  47. ICLR 2026ViPO: Visual Preference Optimization at Scale
  48. ICLR 2026VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration
  49. ICLR 2026VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations
  50. ICLR 2026VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety

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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