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

4,558 papers, page 77 of 92

  1. NeurIPS 2024Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
  2. NeurIPS 2024Axioms for AI Alignment from Human Feedback
  3. NeurIPS 2024BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
  4. NeurIPS 2024BAN: Detecting Backdoors Activated by Adversarial Neuron Noise
  5. NeurIPS 2024Bayesian-guided Label Mapping for Visual Reprogramming
  6. NeurIPS 2024Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
  7. NeurIPS 2024Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation
  8. NeurIPS 2024Beyond Slow Signs in High-fidelity Model Extraction
  9. NeurIPS 2024Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature
  10. NeurIPS 2024Biomedical Visual Instruction Tuning with Clinician Preference Alignment
  11. NeurIPS 2024BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
  12. NeurIPS 2024Boosting the Potential of Large Language Models with an Intelligent Information Assistant
  13. NeurIPS 2024Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
  14. NeurIPS 2024Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
  15. NeurIPS 2024Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
  16. NeurIPS 2024Calibrated Self-Rewarding Vision Language Models
  17. NeurIPS 2024Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
  18. NeurIPS 2024Can Large Language Model Agents Simulate Human Trust Behavior?
  19. NeurIPS 2024Can Models Learn Skill Composition from Examples?
  20. NeurIPS 2024Can Simple Averaging Defeat Modern Watermarks?
  21. NeurIPS 2024Can Transformers Smell Like Humans?
  22. NeurIPS 2024Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification
  23. NeurIPS 2024CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
  24. NeurIPS 2024Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models
  25. NeurIPS 2024Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
  26. NeurIPS 2024Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
  27. NeurIPS 2024Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
  28. NeurIPS 2024CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
  29. NeurIPS 2024CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
  30. NeurIPS 2024CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
  31. NeurIPS 2024CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
  32. NeurIPS 2024Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
  33. NeurIPS 2024ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
  34. NeurIPS 2024CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
  35. NeurIPS 2024Confidence Calibration of Classifiers with Many Classes
  36. NeurIPS 2024Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
  37. NeurIPS 2024Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
  38. NeurIPS 2024Conformalized Multiple Testing after Data-dependent Selection
  39. NeurIPS 2024Conformalized Time Series with Semantic Features
  40. NeurIPS 2024Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
  41. NeurIPS 2024Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
  42. NeurIPS 2024Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
  43. NeurIPS 2024Contextual Bilevel Reinforcement Learning for Incentive Alignment
  44. NeurIPS 2024Continual Learning with Global Alignment
  45. NeurIPS 2024Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
  46. NeurIPS 2024Cross-Modality Perturbation Synergy Attack for Person Re-identification
  47. NeurIPS 2024DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
  48. NeurIPS 2024DarkSAM: Fooling Segment Anything Model to Segment Nothing
  49. NeurIPS 2024DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
  50. NeurIPS 2024Data Free Backdoor Attacks

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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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