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 23 of 26

1101. NeurIPS 2023Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
1102. NeurIPS 2023Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
1103. NeurIPS 2023Large Language Models are Visual Reasoning Coordinators
1104. NeurIPS 2023Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.
1105. NeurIPS 2023Large Language Models of Code Fail at Completing Code with Potential Bugs
1106. NeurIPS 2023Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
1107. NeurIPS 2023LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
1108. NeurIPS 2023Learning Reliable Logical Rules with SATNet
1109. NeurIPS 2023Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
1110. NeurIPS 2023Learning to Reason and Memorize with Self-Notes
1111. NeurIPS 2023LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
1112. NeurIPS 2023LLM-Pruner: On the Structural Pruning of Large Language Models
1113. NeurIPS 2023Localized Symbolic Knowledge Distillation for Visual Commonsense Models
1114. NeurIPS 2023LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering
1115. NeurIPS 2023Markovian Sliced Wasserstein Distances: Beyond Independent Projections
1116. NeurIPS 2023Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
1117. NeurIPS 2023Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
1118. NeurIPS 2023Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
1119. NeurIPS 2023Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
1120. NeurIPS 2023MMD Aggregated Two-Sample Test
1121. NeurIPS 2023MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks
1122. NeurIPS 2023Most Neural Networks Are Almost Learnable
1123. NeurIPS 2023Multi Time Scale World Models
1124. NeurIPS 2023MVDoppler: Unleashing the Power of Multi-View Doppler for MicroMotion-based Gait Classification
1125. NeurIPS 2023Near Optimal Reconstruction of Spherical Harmonic Expansions
1126. NeurIPS 2023Neural Algorithmic Reasoning Without Intermediate Supervision
1127. NeurIPS 2023Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
1128. NeurIPS 2023Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
1129. NeurIPS 2023Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
1130. NeurIPS 2023Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
1131. NeurIPS 2023Offline Imitation Learning with Variational Counterfactual Reasoning
1132. NeurIPS 2023On Calibrating Diffusion Probabilistic Models
1133. NeurIPS 2023On Sparse Modern Hopfield Model
1134. NeurIPS 2023On the Adversarial Robustness of Out-of-distribution Generalization Models
1135. NeurIPS 2023On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
1136. NeurIPS 2023On the Convergence of CART under Sufficient Impurity Decrease Condition
1137. NeurIPS 2023On the Exploration of Local Significant Differences For Two-Sample Test
1138. NeurIPS 2023On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
1139. NeurIPS 2023On the Generalization Properties of Diffusion Models
1140. NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
1141. NeurIPS 2023On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
1142. NeurIPS 2023On the Planning Abilities of Large Language Models - A Critical Investigation
1143. NeurIPS 2023On the Size and Approximation Error of Distilled Datasets
1144. NeurIPS 2023On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making
1145. NeurIPS 2023On the Variance, Admissibility, and Stability of Empirical Risk Minimization
1146. NeurIPS 2023One-step differentiation of iterative algorithms
1147. NeurIPS 2023Online Clustering of Bandits with Misspecified User Models
1148. NeurIPS 2023OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping
1149. NeurIPS 2023Optimal testing using combined test statistics across independent studies
1150. NeurIPS 2023Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model

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.