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

3,512 papers, page 64 of 71

3151. ICML 2023Continuously Parameterized Mixture Models
3152. ICML 2023Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
3153. ICML 2023Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
3154. ICML 2023Counterfactual Identifiability of Bijective Causal Models
3155. ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
3156. ICML 2023Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
3157. ICML 2023Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
3158. ICML 2023Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
3159. ICML 2023Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
3160. ICML 2023Do Perceptually Aligned Gradients Imply Robustness?
3161. ICML 2023Emergent Agentic Transformer from Chain of Hindsight Experience
3162. ICML 2023Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
3163. ICML 2023Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
3164. ICML 2023Exploiting locality in high-dimensional Factorial hidden Markov models
3165. ICML 2023Fast Rates in Time-Varying Strongly Monotone Games
3166. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
3167. ICML 2023Formalizing Preferences Over Runtime Distributions
3168. ICML 2023Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
3169. ICML 2023Generalization on the Unseen, Logic Reasoning and Degree Curriculum
3170. ICML 2023Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
3171. ICML 2023Graphically Structured Diffusion Models
3172. ICML 2023High Fidelity Image Counterfactuals with Probabilistic Causal Models
3173. ICML 2023Hyena Hierarchy: Towards Larger Convolutional Language Models
3174. ICML 2023Identifiability of Label Noise Transition Matrix
3175. ICML 2023Implicit Neural Spatial Representations for Time-dependent PDEs
3176. ICML 2023Inferring Relational Potentials in Interacting Systems
3177. ICML 2023Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning
3178. ICML 2023Input Perturbation Reduces Exposure Bias in Diffusion Models
3179. ICML 2023Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
3180. ICML 2023Interpretable Neural-Symbolic Concept Reasoning
3181. ICML 2023Iterative Approximate Cross-Validation
3182. ICML 2023Large Language Models Can Be Easily Distracted by Irrelevant Context
3183. ICML 2023Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
3184. ICML 2023Learning Hidden Markov Models When the Locations of Missing Observations are Unknown
3185. ICML 2023Leveraging Proxy of Training Data for Test-Time Adaptation
3186. ICML 2023LookupFFN: Making Transformers Compute-lite for CPU inference
3187. ICML 2023Looped Transformers as Programmable Computers
3188. ICML 2023Mimetic Initialization of Self-Attention Layers
3189. ICML 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
3190. ICML 2023Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
3191. ICML 2023Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
3192. ICML 2023Neural Algorithmic Reasoning with Causal Regularisation
3193. ICML 2023Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
3194. ICML 2023Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
3195. ICML 2023Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
3196. ICML 2023Nonparametric Density Estimation under Distribution Drift
3197. ICML 2023ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
3198. ICML 2023On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
3199. ICML 2023On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
3200. ICML 2023On Investigating the Conservative Property of Score-Based Generative Models

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.