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
- Alignment and Safety went from 438 papers in 2023 to 1,882 in 2026, roughly 4.3x in three years.
- NeurIPS publishes the most Alignment and Safety work: 1,421 papers from 2023 to 2026, 31% of the four-venue total.
- The fastest-growing overlap is with Social aspects · safety: papers tagged with both rose from 0 in 2023 to 137 in 2026.
- Among the 5 topics under Alignment and Responsible AI, it ranks #1 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 4.3x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 138 | 87 | 101 | 112 | 438 |
| 2024 | 348 | 156 | 246 | 125 | 875 |
| 2025 | 455 | 473 | 300 | 135 | 1,363 |
| 2026 | 480 | 623 | 551 | 228 | 1,882 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
- ICML 2026AICrypto: Evaluating Cryptography Capabilities of Large Language Models
- ICLR 2026A Fair Bayesian Inference through Matched Gibbs Posterior
- CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and
- NeurIPS 2025$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
- ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
- ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
- CVPR 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
- NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
- ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
- ICLR 2024A unique M-pattern for micro-expression spotting in long videos
- CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
- NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
- ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
- ICLR 2023Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
- CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
- NeurIPS 2026$\mathcal{P}$Torch: Narrowing the Gap Between Projection and Gradient-Based Learning
- ICML 2026Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
- ICLR 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
- CVPR 2026AlignPose Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment
All Alignment and Safety papers
1,198 papers, page 1 of 24
- ICML 2026$\textit{S}$-SPPO: Semantic-Calibrated Self-Play Preference Optimization
- ICML 2026$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses
- ICML 2026A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
- ICML 2026A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness
- ICML 2026A Game-Theoretic Analysis of Attacks on Large Language Models via Compositional Skills
- ICML 2026A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal Graphs
- ICML 2026A New Framework for Cybersecurity Refusals in AI Agents
- ICML 2026A Perturbation Approach to Unconstrained Linear Bandits
- ICML 2026A Positive Case for Faithfulness: Explanations Help Predict Model Behavior
- ICML 2026A Regret Minimization Framework on Preference Learning in Large Language Models
- ICML 2026A Robust Optimization Guided Pruning Framework for Vision and Large Language Models
- ICML 2026A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms
- ICML 2026A Two-Layer Framework for Joint Online Configuration Selection and Admission Control
- ICML 2026A-MemGuard: A Proactive Defense Framework For LLM-Based Agent Memory
- ICML 2026Abstraction Induces the Brain Alignment of Language and Speech Models
- ICML 2026Achieving Structurally Robust Gromov Wasserstein Distance via Adaptive Dual-Mask
- ICML 2026Active Attacks: Red-teaming LLMs via Adaptive Environments
- ICML 2026ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
- ICML 2026Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent
- ICML 2026AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally
- ICML 2026Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
- ICML 2026AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching
- ICML 2026AICrypto: Evaluating Cryptography Capabilities of Large Language Models
- ICML 2026AIR: Improving Agent Safety through Incident Response
- ICML 2026Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
- ICML 2026Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training Trajectories
- ICML 2026Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
- ICML 2026Alignment Risks from Capability-Seeking RL Training
- ICML 2026Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases
- ICML 2026Alignment-Aware Decoding
- ICML 2026An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants
- ICML 2026Anatomy of Massive Activations and Attention Sinks
- ICML 2026ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm
- ICML 2026Anytime Safe PAC Efficient Reasoning
- ICML 2026Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations
- ICML 2026Are Your Agents Upward Deceivers?
- ICML 2026Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling
- ICML 2026Attention Sinks in Diffusion Transformers: A Causal Analysis
- ICML 2026Attention's forward pass and Frank-Wolfe
- ICML 2026Attributed Network Alignment: Statistical Limits and Efficient Algorithm
- ICML 2026Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression
- ICML 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
- ICML 2026Automatically Finding Reward Model Biases
- ICML 2026Autoregressive Direct Preference Optimization
- ICML 2026AvAtar: Learning to Align via Active Optimal Transport
- ICML 2026Beyond Next-Token Alignment: Distilling Multimodal Large Language Models via Token Interactions
- ICML 2026Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series Distillation
- ICML 2026Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability
- ICML 2026BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
- ICML 2026Blending Neural Control Density Functions for Stabilization and Safety
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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.