Alignment and Safety papers, 2023–2026

RLHF, preference optimization, red-teaming, and safety alignment

Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 4,558 papers are tagged with this topic.

Key findings

Papers per year

Papers per venue

Counts by year and venue

Alignment and Safety papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202313887101112438
2024348156246125875
20254554733001351,363
20264806235512281,882

Representative papers

Spread across years and venues so every edition shows up

All Alignment and Safety papers

1,421 papers, page 14 of 29

  1. NeurIPS 2025Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
  2. NeurIPS 2025Graph Alignment via Birkhoff Relaxation
  3. NeurIPS 2025GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
  4. NeurIPS 2025Greedy Sampling Is Provably Efficient For RLHF
  5. NeurIPS 2025GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
  6. NeurIPS 2025GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-Identification
  7. NeurIPS 2025GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
  8. NeurIPS 2025Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment
  9. NeurIPS 2025Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
  10. NeurIPS 2025Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
  11. NeurIPS 2025HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages
  12. NeurIPS 2025Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation
  13. NeurIPS 2025Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
  14. NeurIPS 2025How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?
  15. NeurIPS 2025Human-assisted Robotic Policy Refinement via Action Preference Optimization
  16. NeurIPS 2025HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization
  17. NeurIPS 2025HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning
  18. NeurIPS 2025Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
  19. NeurIPS 2025Impact of Layer Norm on Memorization and Generalization in Transformers
  20. NeurIPS 2025Impartial Selection with Predictions
  21. NeurIPS 2025Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data
  22. NeurIPS 2025Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections
  23. NeurIPS 2025Improved Bounds for Swap Multicalibration and Swap Omniprediction
  24. NeurIPS 2025Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits
  25. NeurIPS 2025Improved Representation Steering for Language Models
  26. NeurIPS 2025Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
  27. NeurIPS 2025Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
  28. NeurIPS 2025Improving Video Generation with Human Feedback
  29. NeurIPS 2025Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion
  30. NeurIPS 2025Incomplete Multi-view Deep Clustering with Data Imputation and Alignment
  31. NeurIPS 2025Inference-time Alignment in Continuous Space
  32. NeurIPS 2025Inference-Time Personalized Alignment with a Few User Preference Queries
  33. NeurIPS 2025Inference-Time Reward Hacking in Large Language Models
  34. NeurIPS 2025Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
  35. NeurIPS 2025Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
  36. NeurIPS 2025InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
  37. NeurIPS 2025Information Retrieval Induced Safety Degradation in AI Agents
  38. NeurIPS 2025Information-Theoretic Reward Decomposition for Generalizable RLHF
  39. NeurIPS 2025Infrequent Exploration in Linear Bandits
  40. NeurIPS 2025Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
  41. NeurIPS 2025Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval
  42. NeurIPS 2025InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback
  43. NeurIPS 2025IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
  44. NeurIPS 2025JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics
  45. NeurIPS 2025JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
  46. NeurIPS 2025Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
  47. NeurIPS 2025KL Penalty Control via Perturbation for Direct Preference Optimization
  48. NeurIPS 2025KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
  49. NeurIPS 2025LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process
  50. NeurIPS 2025Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale

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FAQ

How many Alignment and Safety papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
4,558 in total: 438 in 2023, 875 in 2024, 1,363 in 2025, 1,882 in 2026.
How many Alignment and Safety papers are at NeurIPS 2026?
NeurIPS 2026 has 480 Alignment and Safety papers, versus 455 the year before.
How many Alignment and Safety papers are at ICLR 2026?
ICLR 2026 has 623 Alignment and Safety papers, versus 473 the year before.
How many Alignment and Safety papers are at ICML 2026?
ICML 2026 has 551 Alignment and Safety papers, versus 300 the year before.
How many Alignment and Safety papers are at CVPR 2026?
CVPR 2026 has 228 Alignment and Safety papers, versus 135 the year before.
Which conference publishes the most Alignment and Safety papers?
NeurIPS, with 1,421 papers from 2023 to 2026.

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