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

500 papers, page 5 of 10

201. NeurIPS 2025Kinetics: Rethinking Test-Time Scaling Law
202. NeurIPS 2025Knot So Simple: A Minimalistic Environment for Spatial Reasoning
203. NeurIPS 2025Know What You Don't Know: Uncertainty Calibration of Process Reward Models
204. NeurIPS 2025KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models
205. NeurIPS 2025KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning
206. NeurIPS 2025Language Models Can Predict Their Own Behavior
207. NeurIPS 2025Language Models can Self-Improve at State-Value Estimation for Better Search
208. NeurIPS 2025Large Language Models as End-to-end Combinatorial Optimization Solvers
209. NeurIPS 2025Large language models can learn and generalize steganographic chain-of-thought under process supervision
210. NeurIPS 2025Large Language Models Think Too Fast To Explore Effectively
211. NeurIPS 2025LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
212. NeurIPS 2025Latent Chain-of-Thought for Visual Reasoning
213. NeurIPS 2025Latent Principle Discovery for Language Model Self-Improvement
214. NeurIPS 2025LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration
215. NeurIPS 2025LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought
216. NeurIPS 2025Learning long range dependencies through time reversal symmetry breaking
217. NeurIPS 2025Learning to Better Search with Language Models via Guided Reinforced Self-Training
218. NeurIPS 2025Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning
219. NeurIPS 2025Learning to Reason under Off-Policy Guidance
220. NeurIPS 2025Learning to Solve Complex Problems via Dataset Decomposition
221. NeurIPS 2025Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL
222. NeurIPS 2025Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
223. NeurIPS 2025Less Greedy Equivalence Search
224. NeurIPS 2025Let LRMs Break Free from Overthinking via Self-Braking Tuning
225. NeurIPS 2025Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones
226. NeurIPS 2025LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
227. NeurIPS 2025Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace
228. NeurIPS 2025LILO: Learning to Reason at the Frontier of Learnability
229. NeurIPS 2025LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling
230. NeurIPS 2025Linguini: A benchmark for language-agnostic linguistic reasoning
231. NeurIPS 2025LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery
232. NeurIPS 2025LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
233. NeurIPS 2025LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
234. NeurIPS 2025Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
235. NeurIPS 2025Look-Ahead Reasoning on Learning Platforms
236. NeurIPS 2025Lost in Transmission: When and Why LLMs Fail to Reason Globally
237. NeurIPS 2025Majority of the Bests: Improving Best-of-N via Bootstrapping
238. NeurIPS 2025Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
239. NeurIPS 2025Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences
240. NeurIPS 2025Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
241. NeurIPS 2025Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models
242. NeurIPS 2025Mellow: a small audio language model for reasoning
243. NeurIPS 2025MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning
244. NeurIPS 2025MiCo: Multi-image Contrast for Reinforcement Visual Reasoning
245. NeurIPS 2025Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
246. NeurIPS 2025MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO
247. NeurIPS 2025miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward
248. NeurIPS 2025MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
249. NeurIPS 2025MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?
250. NeurIPS 2025MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations

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.