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

470 papers, page 4 of 10

151. ICML 2023Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
152. ICML 2023Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
153. ICML 2023Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
154. ICML 2023Nonparametric Density Estimation under Distribution Drift
155. ICML 2023ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
156. ICML 2023On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
157. ICML 2023On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
158. ICML 2023On Investigating the Conservative Property of Score-Based Generative Models
159. ICML 2023On Pitfalls of Test-Time Adaptation
160. ICML 2023On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
161. ICML 2023On the Convergence of Gradient Flow on Multi-layer Linear Models
162. ICML 2023On the Impact of Algorithmic Recourse on Social Segregation
163. ICML 2023On the Training Instability of Shuffling SGD with Batch Normalization
164. ICML 2023One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
165. ICML 2023Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
166. ICML 2023Out-of-Domain Robustness via Targeted Augmentations
167. ICML 2023Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
168. ICML 2023PAC Prediction Sets for Large Language Models of Code
169. ICML 2023PAL: Program-aided Language Models
170. ICML 2023Phase Transitions in the Detection of Correlated Databases
171. ICML 2023Poisoning Language Models During Instruction Tuning
172. ICML 2023Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
173. ICML 2023Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
174. ICML 2023Representer Point Selection for Explaining Regularized High-dimensional Models
175. ICML 2023Robust Budget Pacing with a Single Sample
176. ICML 2023Robust Explanation for Free or At the Cost of Faithfulness
177. ICML 2023Secure Federated Correlation Test and Entropy Estimation
178. ICML 2023Settling the Reward Hypothesis
179. ICML 2023SinFusion: Training Diffusion Models on a Single Image or Video
180. ICML 2023Specializing Smaller Language Models towards Multi-Step Reasoning
181. ICML 2023Statistical Learning under Heterogenous Distribution Shift
182. ICML 2023Structure-informed Language Models Are Protein Designers
183. ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
184. ICML 2023TAN Without a Burn: Scaling Laws of DP-SGD
185. ICML 2023Test-time Adaptation with Slot-Centric Models
186. ICML 2023Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
187. ICML 2023The Computational Complexity of Concise Hypersphere Classification
188. ICML 2023The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
189. ICML 2023The Power of Learned Locally Linear Models for Nonlinear Policy Optimization
190. ICML 2023The Test of Tests: A Framework for Differentially Private Hypothesis Testing
191. ICML 2023Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables
192. ICML 2023Uncovering Adversarial Risks of Test-Time Adaptation
193. ICML 2023Understanding the Impact of Adversarial Robustness on Accuracy Disparity
194. ICML 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
195. ICML 2023UPSCALE: Unconstrained Channel Pruning
196. ICML 2023Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
197. ICML 2023When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
198. ICML 2023Whose Opinions Do Language Models Reflect?
199. ICML 2023Why do Nearest Neighbor Language Models Work?
200. NeurIPS 2023[Re] Numerical influence of ReLU'(0) on backpropagation

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.