Safety in Planning papers, 2023–2026
Safety-constrained planning
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 105 papers are tagged with this topic.
Key findings
- Safety in Planning went from 33 papers in 2023 to 37 in 2026, roughly 1.1x in three years.
- NeurIPS publishes the most Safety in Planning work: 59 papers from 2023 to 2026, 56% of the four-venue total.
- The fastest-growing overlap is with Social aspects · safety: papers tagged with both rose from 0 in 2023 to 5 in 2026.
- Among the 5 topics under Games and Planning, it ranks #5 by 2026 paper count; the fastest grower in the group, Classical Planning, is up 3.3x versus 1.1x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 23 | 3 | 7 | 0 | 33 |
| 2024 | 8 | 2 | 5 | 1 | 16 |
| 2025 | 7 | 5 | 7 | 0 | 19 |
| 2026 | 21 | 4 | 8 | 4 | 37 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026PASSAGE: A Real-Terrain Benchmark for Trustworthy Constrained Path Planning
- ICML 2026Constrained Bayesian Experimental Design via Online Planning
- ICLR 2026Superficial Safety Alignment Hypothesis
- CVPR 2026ActiveAD Planning-Oriented Active Learning for End-to-End Autonomous Driving
- NeurIPS 2025Refusal Direction is Universal Across Safety-Aligned Languages
- ICML 2025Goal-Space Planning with Subgoal Models
- ICLR 2025Durable Quantization Conditioned Misalignment Attack on Large Language Models
- NeurIPS 2024Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
- ICML 2024MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
- ICLR 2024Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
- CVPR 2024Anatomically Constrained Implicit Face Models
- NeurIPS 2023Experiment Planning with Function Approximation
- ICML 2023Constrained Monotonic Neural Networks
- ICLR 2023Integrating Symmetry into Differentiable Planning with Steerable Convolutions
- NeurIPS 2026Ordinal Geometry Complements Reconstruction: Diagnosing Planning with Compressed Value Functions
- ICML 2026On the Ability of Transformers to Verify Plans
- ICLR 2026Mitigating the Safety Alignment Tax with Null-Space Constrained Policy Optimization
- CVPR 2026HQC-NBV A Hybrid Quantum-Classical View Planning Approach
- NeurIPS 2025Alignment of Large Language Models with Constrained Learning
- ICML 2025Training Deep Learning Models with Norm-Constrained LMOs
All Safety in Planning papers
59 papers, page 1 of 2
- NeurIPS 2026A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models
- NeurIPS 2026Causal-Geo: Neuro-Symbolic Spatial Grounding for Situated Agent Planning
- NeurIPS 2026Compositional Training-Free Diffusion Planning for Long-Horizon Multiple Reach-Avoid Tasks
- NeurIPS 2026Constrained MDPs with Trajectory Constraints
- NeurIPS 2026Constraint-Aware Influence Estimation in Deep Constrained Learning
- NeurIPS 2026DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
- NeurIPS 2026Decomposing One Professional-Framing Pipeline: Which Components Shift LLM Safety Boundaries?
- NeurIPS 2026DiRecT: Safe Diffusion-Based Planning via Receding-Horizon Denoising
- NeurIPS 2026Exact Recovery of Lipschitz Orthogonal Coordinate Transformations via Constrained Normalizing Flows
- NeurIPS 2026Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems
- NeurIPS 2026Learning Chance-Constrained MDPs with Bellman Distributional Certificates
- NeurIPS 2026LPS-Bench: Benchmarking Safety Awareness of Computer-Use Agents in Long-Horizon Planning under Benign and Adversarial Scenarios
- NeurIPS 2026MindShape: Superquadric-Constrained High-Fidelity 3D Reconstruction from fMRI
- NeurIPS 2026Ordinal Geometry Complements Reconstruction: Diagnosing Planning with Compressed Value Functions
- NeurIPS 2026PASSAGE: A Real-Terrain Benchmark for Trustworthy Constrained Path Planning
- NeurIPS 2026Personalized Safety in Federated Fine-Tuning of Large Language Models
- NeurIPS 2026PoSafeNet: Structured Safety Learning via Compositional Projection
- NeurIPS 2026Scalable Neural Safety Certification via Monotonicity
- NeurIPS 2026Soteria: Formally Verified Planning with Runtime Enforcement for Safe LLM Agents
- NeurIPS 2026Subprocess-Constrained Markov Decision Processes
- NeurIPS 2026Trajectory Planning without Trajectory Data: A Manifold-Guided Approach
- NeurIPS 2025Alignment of Large Language Models with Constrained Learning
- NeurIPS 2025Constrained Diffusers for Safe Planning and Control
- NeurIPS 2025Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL
- NeurIPS 2025LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
- NeurIPS 2025LLM Safety Alignment is Divergence Estimation in Disguise
- NeurIPS 2025Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation
- NeurIPS 2025Refusal Direction is Universal Across Safety-Aligned Languages
- NeurIPS 2024Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
- NeurIPS 2024Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPs
- NeurIPS 2024Conformalized Multiple Testing after Data-dependent Selection
- NeurIPS 2024Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
- NeurIPS 2024Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
- NeurIPS 2024Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
- NeurIPS 2024Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
- NeurIPS 2024Safety through feedback in Constrained RL
- NeurIPS 2023$p$-Poisson surface reconstruction in curl-free flow from point clouds
- NeurIPS 2023Accelerating Motion Planning via Optimal Transport
- NeurIPS 2023Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling
- NeurIPS 2023Demographic Parity Constrained Minimax Optimal Regression under Linear Model
- NeurIPS 2023DICES Dataset: Diversity in Conversational AI Evaluation for Safety
- NeurIPS 2023Experiment Planning with Function Approximation
- NeurIPS 2023Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time
- NeurIPS 2023How do Minimum-Norm Shallow Denoisers Look in Function Space?
- NeurIPS 2023Information-guided Planning: An Online Approach for Partially Observable Problems
- NeurIPS 2023Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
- NeurIPS 2023Near-Optimal $k$-Clustering in the Sliding Window Model
- NeurIPS 2023Online Ad Procurement in Non-stationary Autobidding Worlds
- NeurIPS 2023Online POMDP Planning with Anytime Deterministic Guarantees
- NeurIPS 2023Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
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FAQ
- How many Safety in Planning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 105 in total: 33 in 2023, 16 in 2024, 19 in 2025, 37 in 2026.
- How many Safety in Planning papers are at NeurIPS 2026?
- NeurIPS 2026 has 21 Safety in Planning papers, versus 7 the year before.
- How many Safety in Planning papers are at ICLR 2026?
- ICLR 2026 has 4 Safety in Planning papers, versus 5 the year before.
- How many Safety in Planning papers are at ICML 2026?
- ICML 2026 has 8 Safety in Planning papers, versus 7 the year before.
- How many Safety in Planning papers are at CVPR 2026?
- CVPR 2026 has 4 Safety in Planning papers.
- Which conference publishes the most Safety in Planning papers?
- NeurIPS, with 59 papers from 2023 to 2026.