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

271 papers, page 4 of 6

151. NeurIPS 2023On Sparse Modern Hopfield Model
152. NeurIPS 2023On the Adversarial Robustness of Out-of-distribution Generalization Models
153. NeurIPS 2023On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
154. NeurIPS 2023On the Convergence of CART under Sufficient Impurity Decrease Condition
155. NeurIPS 2023On the Exploration of Local Significant Differences For Two-Sample Test
156. NeurIPS 2023On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
157. NeurIPS 2023On the Generalization Properties of Diffusion Models
158. NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
159. NeurIPS 2023On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
160. NeurIPS 2023On the Planning Abilities of Large Language Models - A Critical Investigation
161. NeurIPS 2023On the Size and Approximation Error of Distilled Datasets
162. NeurIPS 2023On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making
163. NeurIPS 2023On the Variance, Admissibility, and Stability of Empirical Risk Minimization
164. NeurIPS 2023One-step differentiation of iterative algorithms
165. NeurIPS 2023Online Clustering of Bandits with Misspecified User Models
166. NeurIPS 2023OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping
167. NeurIPS 2023Optimal testing using combined test statistics across independent studies
168. NeurIPS 2023Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model
169. NeurIPS 2023Parallel Sampling of Diffusion Models
170. NeurIPS 2023Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
171. NeurIPS 2023Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions
172. NeurIPS 2023Passive learning of active causal strategies in agents and language models
173. NeurIPS 2023Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
174. NeurIPS 2023PCF-GAN: generating sequential data via the characteristic function of measures on the path space
175. NeurIPS 2023Perception Test: A Diagnostic Benchmark for Multimodal Video Models
176. NeurIPS 2023Persuading Farsighted Receivers in MDPs: the Power of Honesty
177. NeurIPS 2023PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
178. NeurIPS 2023Post Hoc Explanations of Language Models Can Improve Language Models
179. NeurIPS 2023Predict-then-Calibrate: A New Perspective of Robust Contextual LP
180. NeurIPS 2023Private estimation algorithms for stochastic block models and mixture models
181. NeurIPS 2023Promises and Pitfalls of Threshold-based Auto-labeling
182. NeurIPS 2023ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics
183. NeurIPS 2023Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
184. NeurIPS 2023Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models
185. NeurIPS 2023Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving
186. NeurIPS 2023Quantifying the Cost of Learning in Queueing Systems
187. NeurIPS 2023RDumb: A simple approach that questions our progress in continual test-time adaptation
188. NeurIPS 2023RealTime QA: What's the Answer Right Now?
189. NeurIPS 2023RECKONING: Reasoning through Dynamic Knowledge Encoding
190. NeurIPS 2023Reflexion: language agents with verbal reinforcement learning
191. NeurIPS 2023Regularization properties of adversarially-trained linear regression
192. NeurIPS 2023RELIC: Reproducibility and Extension on LIC metric in quantifying bias in captioning models
193. NeurIPS 2023Representational Strengths and Limitations of Transformers
194. NeurIPS 2023Reproducibility study of 'Proto2Proto: Can you recognise the car, the way I do?'
195. NeurIPS 2023Reproducibility Study of ”Label-Free Explainability for Unsupervised Models”
196. NeurIPS 2023Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
197. NeurIPS 2023Reusable Slotwise Mechanisms
198. NeurIPS 2023Revisiting the Evaluation of Image Synthesis with GANs
199. NeurIPS 2023RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
200. NeurIPS 2023RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

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.