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

311 papers, page 4 of 7

151. ICML 2024Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
152. ICML 2024How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
153. ICML 2024How Language Model Hallucinations Can Snowball
154. ICML 2024Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
155. ICML 2024Improving Factuality and Reasoning in Language Models through Multiagent Debate
156. ICML 2024In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
157. ICML 2024InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
158. ICML 2024InstructSpeech: Following Speech Editing Instructions via Large Language Models
159. ICML 2024Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
160. ICML 2024KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
161. ICML 2024Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models
162. ICML 2024Language Models with Conformal Factuality Guarantees
163. ICML 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
164. ICML 2024MathScale: Scaling Instruction Tuning for Mathematical Reasoning
165. ICML 2024Matroid Semi-Bandits in Sublinear Time
166. ICML 2024NExT: Teaching Large Language Models to Reason about Code Execution
167. ICML 2024On the Independence Assumption in Neurosymbolic Learning
168. ICML 2024Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
169. ICML 2024Premise Order Matters in Reasoning with Large Language Models
170. ICML 2024Profile Reconstruction from Private Sketches
171. ICML 2024Prompt Sketching for Large Language Models
172. ICML 2024Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
173. ICML 2024Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
174. ICML 2024Slot Abstractors: Toward Scalable Abstract Visual Reasoning
175. ICML 2024Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities
176. ICML 2024StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
177. ICML 2024Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
178. ICML 2024Stay on Topic with Classifier-Free Guidance
179. ICML 2024STEER: Assessing the Economic Rationality of Large Language Models
180. ICML 2024Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
181. ICML 2024Structured Chemistry Reasoning with Large Language Models
182. ICML 2024Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
183. ICML 2024Test-Time Model Adaptation with Only Forward Passes
184. ICML 2024Toward Adaptive Reasoning in Large Language Models with Thought Rollback
185. ICML 2024Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
186. ICML 2024Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
187. ICML 2024Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
188. ICML 2024Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
189. ICML 2024Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition
190. ICML 2024What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks
191. NeurIPS 2024A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts
192. NeurIPS 2024A Careful Examination of Large Language Model Performance on Grade School Arithmetic
193. NeurIPS 2024A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning
194. NeurIPS 2024A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
195. NeurIPS 2024A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
196. NeurIPS 2024Are Large Language Models Good Statisticians?
197. NeurIPS 2024AutoPSV: Automated Process-Supervised Verifier
198. NeurIPS 2024BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
199. NeurIPS 2024Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
200. NeurIPS 2024Buffer of Thoughts: Thought-Augmented Reasoning with Large Language 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.