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

1,253 papers, page 24 of 26

1151. NeurIPS 2023Parallel Sampling of Diffusion Models
1152. NeurIPS 2023Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
1153. NeurIPS 2023Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions
1154. NeurIPS 2023Passive learning of active causal strategies in agents and language models
1155. NeurIPS 2023Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
1156. NeurIPS 2023PCF-GAN: generating sequential data via the characteristic function of measures on the path space
1157. NeurIPS 2023Perception Test: A Diagnostic Benchmark for Multimodal Video Models
1158. NeurIPS 2023Persuading Farsighted Receivers in MDPs: the Power of Honesty
1159. NeurIPS 2023PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
1160. NeurIPS 2023Post Hoc Explanations of Language Models Can Improve Language Models
1161. NeurIPS 2023Predict-then-Calibrate: A New Perspective of Robust Contextual LP
1162. NeurIPS 2023Private estimation algorithms for stochastic block models and mixture models
1163. NeurIPS 2023Promises and Pitfalls of Threshold-based Auto-labeling
1164. NeurIPS 2023ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics
1165. NeurIPS 2023Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
1166. NeurIPS 2023Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models
1167. NeurIPS 2023Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving
1168. NeurIPS 2023Quantifying the Cost of Learning in Queueing Systems
1169. NeurIPS 2023RDumb: A simple approach that questions our progress in continual test-time adaptation
1170. NeurIPS 2023RealTime QA: What's the Answer Right Now?
1171. NeurIPS 2023RECKONING: Reasoning through Dynamic Knowledge Encoding
1172. NeurIPS 2023Reflexion: language agents with verbal reinforcement learning
1173. NeurIPS 2023Regularization properties of adversarially-trained linear regression
1174. NeurIPS 2023RELIC: Reproducibility and Extension on LIC metric in quantifying bias in captioning models
1175. NeurIPS 2023Representational Strengths and Limitations of Transformers
1176. NeurIPS 2023Reproducibility study of 'Proto2Proto: Can you recognise the car, the way I do?'
1177. NeurIPS 2023Reproducibility Study of ”Label-Free Explainability for Unsupervised Models”
1178. NeurIPS 2023Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
1179. NeurIPS 2023Reusable Slotwise Mechanisms
1180. NeurIPS 2023Revisiting the Evaluation of Image Synthesis with GANs
1181. NeurIPS 2023RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
1182. NeurIPS 2023RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
1183. NeurIPS 2023Robust Model Reasoning and Fitting via Dual Sparsity Pursuit
1184. NeurIPS 2023SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
1185. NeurIPS 2023Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk
1186. NeurIPS 2023SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
1187. NeurIPS 2023Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
1188. NeurIPS 2023Self-Consistent Velocity Matching of Probability Flows
1189. NeurIPS 2023Self-Evaluation Guided Beam Search for Reasoning
1190. NeurIPS 2023SHAP-IQ: Unified Approximation of any-order Shapley Interactions
1191. NeurIPS 2023Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms
1192. NeurIPS 2023Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
1193. NeurIPS 2023Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization
1194. NeurIPS 2023SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning
1195. NeurIPS 2023Small Transformers Compute Universal Metric Embeddings
1196. NeurIPS 2023SODA: Robust Training of Test-Time Data Adaptors
1197. NeurIPS 2023SpecTr: Fast Speculative Decoding via Optimal Transport
1198. NeurIPS 2023SPRING: Studying Papers and Reasoning to play Games
1199. NeurIPS 2023Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
1200. NeurIPS 2023Squared Neural Families: A New Class of Tractable Density 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.