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 6 of 29

  1. NeurIPS 2026MIND-DDI: Multi-Omics Interpretable Drug-Drug Interaction Prediction with Joint Optimization of Graph Structure, Neural Architecture, and Symbolic Rules
  2. NeurIPS 2026MindGuard: Guardrail Classifiers for Multi-Turn Mental Health Support
  3. NeurIPS 2026MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering
  4. NeurIPS 2026MMA-SafetyBench: A Benchmark for Multimodal Agent Safety Evaluation
  5. NeurIPS 2026Model Capacity Determines Grokking through Competing Memorisation and Generalisation Speeds
  6. NeurIPS 2026Model Immunization Beyond Condition Numbers: The Importance of Plateau Regions
  7. NeurIPS 2026Models That Know How Evaluations Are Designed Score Safer
  8. NeurIPS 2026MorphGen: Controllable Cell-Image Generation with Biological Representation Alignment
  9. NeurIPS 2026Mult-DPO: Multinomial Direct Preference Optimization for Recommender Systems
  10. NeurIPS 2026Multi-Level Alignment Framework for Long-Term Olfactory Neural Decoding
  11. NeurIPS 2026Multilingual Safety Alignment via Self-Distillation
  12. NeurIPS 2026MUTE: Multi-Level Alignment Uncoupling Against Talking-Head Exploitation for Voice Protection
  13. NeurIPS 2026Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions
  14. NeurIPS 2026Negation Neglect: When models fail to learn negations in training
  15. NeurIPS 2026Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitors
  16. NeurIPS 2026Noisy isomorphism: Robust expressivity of GNNs under structural perturbation
  17. NeurIPS 2026Noisy2Latent: Nonparametric Deconvolution and Denoising via Maximum Mean Discrepancy
  18. NeurIPS 2026Nonlinear Direct Feedback Alignment for Scalable Backpropagation-Free Training
  19. NeurIPS 2026Not all uncertainty is alike: volatility, stochasticity, and exploration
  20. NeurIPS 2026Not Too Generative, Not Too Discriminative: The Human Alignment Sweet Spot
  21. NeurIPS 2026OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries
  22. NeurIPS 2026Observations Drift, Structures Remain: Structural Pretraining with Time Alignment for Electromagnetic Signals
  23. NeurIPS 2026Omni-Safety under Cross-Modality Conflict: Vulnerabilities, Dynamic Mechanisms and Efficient Alignment
  24. NeurIPS 2026On approximation and estimation of Schrödinger potentials without the curse of dimensionality
  25. NeurIPS 2026On Lipschitz Explosion in Deep Neural Networks with Normalization: Consequences for Optimization and Robustness
  26. NeurIPS 2026On the Depth of Monotone ReLU Neural Networks and ICNNs
  27. NeurIPS 2026On the Parallel Optimality of Exponentiated Gradient Descent
  28. NeurIPS 2026On the Sparsity of Direct Preference Optimization: Weight Disentanglement in the NTK Regime
  29. NeurIPS 2026On the Tightness and Computational Tractability of Higher-Dimensional Confidence Sequences
  30. NeurIPS 2026On-Policy Consistency Training Improves LLM Safety with Minimal Capability Degradation
  31. NeurIPS 2026One-Time Soft Alignment Enables Resilient Learning without Weight Transport
  32. NeurIPS 2026OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators
  33. NeurIPS 2026Optimal and Efficient Contextual Combinatorial Semi-bandits with General Function Approximation
  34. NeurIPS 2026Optimal In-context Adaptivity and Distributional Robustness of Transformers
  35. NeurIPS 2026Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing
  36. NeurIPS 2026Optimal Transport Reweighting for Robust Learning under Spurious Correlations and Label Noise
  37. NeurIPS 2026Oracle-Robust Online Alignment for Large Language Models
  38. NeurIPS 2026ORCA: Orthogonal Residual Consensus Alignment for Multi-View Clustering
  39. NeurIPS 2026Orthogonal Sparse Subgraph Alignment for Structure-Function Coupling in Brain Networks
  40. NeurIPS 2026Overcoming Rank Collapse in Feedback Alignment
  41. NeurIPS 2026Pairwise AUC Optimization Needs Corrective Power: A Unified View
  42. NeurIPS 2026Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs
  43. NeurIPS 2026PaperLens: How Predictable Is Paper Acceptance?
  44. NeurIPS 2026ParetoM$^3$: Learning on the Pareto Set under Preference Guidance via Min-Max-Min Optimization
  45. NeurIPS 2026Participatory ML for Social Harm Should be Constructed, Validated and Reasoned Through First-Person Accounts
  46. NeurIPS 2026Persona Vectors: Monitoring and Controlling Character Traits in Language Models
  47. NeurIPS 2026Personalized Safety in Federated Fine-Tuning of Large Language Models
  48. NeurIPS 2026PISG: Constraint-Aligned Signal Amplification for Diffusion-Based Combinatorial Optimization
  49. NeurIPS 2026PixelDense: Dense Prediction as Representation Alignment for Pixel Diffusion
  50. NeurIPS 2026POME: Post Optimization Model Edit via Muon-Style Projection

Ask about this trend from Claude or Cursor

Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.

Copy this prompt into your assistant

Use paperlist to show how Alignment and Safety papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.

Tool the assistant calls: get_topic_stats {"topic": "alignment-and-safety"}

Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)

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.

More in Alignment and Responsible AI