Reasoning Models papers, 2023–2026

Key findings

• Reasoning Models went from 470 papers in 2023 to 1,799 in 2026, roughly 3.8x in three years.
• NeurIPS publishes the most Reasoning Models work: 1,253 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Reinforcement Learning: papers tagged with both rose from 9 in 2023 to 437 in 2026.
• Among the 4 topics under Trending Systems, it ranks #3 by 2026 paper count; the fastest grower in the group, AI Agents, is up 12x versus 3.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Mechanistic Analysis of Looped Reasoning Language Models
• ICML 2026A Formal Comparison Between Chain of Thought and Latent Thought
• ICLR 2026A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
• CVPR 2026Asking like Socrates Socrates helps VLMs understand remote sensing images
• NeurIPS 2025A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
• ICML 2025A Reasoning-Based Approach to Cryptic Crossword Clue Solving
• ICLR 2025A Formal Framework for Understanding Length Generalization in Transformers
• CVPR 2025Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought
• NeurIPS 2024Are Large Language Models Good Statisticians?
• ICML 2024Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
• ICLR 2024Amortizing intractable inference in large language models
• CVPR 2024Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts
• NeurIPS 2023A benchmark of categorical encoders for binary classification
• ICML 2023Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
• ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
• CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
• NeurIPS 2026A Solvable Model of Chain-of-Thought in In-Context Learning
• ICML 2026A Narrowing Geometry in Contaminated Reasoning
• ICLR 2026A State-Transition Framework for Efficient LLM Reasoning
• CVPR 2026Beyond Weak Supervision MLLMs-Guided Graded Knowledge Distillation for Unsupervised Camouflaged

All Reasoning Models papers

109 papers, page 1 of 3

1. ICML 2023A Statistical Perspective on Retrieval-Based Models
2. ICML 2023A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
3. ICML 2023A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
4. ICML 2023AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
5. ICML 2023Adaptive Computation with Elastic Input Sequence
6. ICML 2023An Effective Meaningful Way to Evaluate Survival Models
7. ICML 2023Bag of Tricks for Training Data Extraction from Language Models
8. ICML 2023Bandits with Knapsacks: Advice on Time-Varying Demands
9. ICML 2023Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
10. ICML 2023Benign Overfitting in Deep Neural Networks under Lazy Training
11. ICML 2023Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
12. ICML 2023Beyond the Edge of Stability via Two-step Gradient Updates
13. ICML 2023Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
14. ICML 2023CLIPood: Generalizing CLIP to Out-of-Distributions
15. ICML 2023Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
16. ICML 2023Consistency Models
17. ICML 2023Constraint Reasoning Embedded Structured Prediction
18. ICML 2023Contextual Reliability: When Different Features Matter in Different Contexts
19. ICML 2023Continuously Parameterized Mixture Models
20. ICML 2023Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
21. ICML 2023Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
22. ICML 2023Counterfactual Identifiability of Bijective Causal Models
23. ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
24. ICML 2023Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
25. ICML 2023Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
26. ICML 2023Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
27. ICML 2023Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
28. ICML 2023Do Perceptually Aligned Gradients Imply Robustness?
29. ICML 2023Emergent Agentic Transformer from Chain of Hindsight Experience
30. ICML 2023Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
31. ICML 2023Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
32. ICML 2023Exploiting locality in high-dimensional Factorial hidden Markov models
33. ICML 2023Fast Rates in Time-Varying Strongly Monotone Games
34. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
35. ICML 2023Formalizing Preferences Over Runtime Distributions
36. ICML 2023Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
37. ICML 2023Generalization on the Unseen, Logic Reasoning and Degree Curriculum
38. ICML 2023Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
39. ICML 2023Graphically Structured Diffusion Models
40. ICML 2023High Fidelity Image Counterfactuals with Probabilistic Causal Models
41. ICML 2023Hyena Hierarchy: Towards Larger Convolutional Language Models
42. ICML 2023Identifiability of Label Noise Transition Matrix
43. ICML 2023Implicit Neural Spatial Representations for Time-dependent PDEs
44. ICML 2023Inferring Relational Potentials in Interacting Systems
45. ICML 2023Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning
46. ICML 2023Input Perturbation Reduces Exposure Bias in Diffusion Models
47. ICML 2023Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
48. ICML 2023Interpretable Neural-Symbolic Concept Reasoning
49. ICML 2023Iterative Approximate Cross-Validation
50. ICML 2023Large Language Models Can Be Easily Distracted by Irrelevant Context

FAQ

How many Reasoning Models papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,512 in total: 470 in 2023, 311 in 2024, 932 in 2025, 1,799 in 2026.

How many Reasoning Models papers are at NeurIPS 2026?

NeurIPS 2026 has 361 Reasoning Models papers, versus 500 the year before.

How many Reasoning Models papers are at ICLR 2026?

ICLR 2026 has 652 Reasoning Models papers, versus 203 the year before.

How many Reasoning Models papers are at ICML 2026?

ICML 2026 has 582 Reasoning Models papers, versus 159 the year before.

How many Reasoning Models papers are at CVPR 2026?

CVPR 2026 has 204 Reasoning Models papers, versus 70 the year before.

Which conference publishes the most Reasoning Models papers?

NeurIPS, with 1,253 papers from 2023 to 2026.