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 2 of 6

51. NeurIPS 2023DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
52. NeurIPS 2023Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought
53. NeurIPS 2023Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs
54. NeurIPS 2023Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick
55. NeurIPS 2023Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
56. NeurIPS 2023Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
57. NeurIPS 2023DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
58. NeurIPS 2023Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning
59. NeurIPS 2023Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity
60. NeurIPS 2023Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier
61. NeurIPS 2023DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
62. NeurIPS 2023Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning
63. NeurIPS 2023Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
64. NeurIPS 2023Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
65. NeurIPS 2023Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
66. NeurIPS 2023Does Visual Pretraining Help End-to-End Reasoning?
67. NeurIPS 2023Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
68. NeurIPS 2023Egocentric Planning for Scalable Embodied Task Achievement
69. NeurIPS 2023EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
70. NeurIPS 2023Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
71. NeurIPS 2023Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
72. NeurIPS 2023Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
73. NeurIPS 2023Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
74. NeurIPS 2023Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
75. NeurIPS 2023Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
76. NeurIPS 2023Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
77. NeurIPS 2023Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
78. NeurIPS 2023Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
79. NeurIPS 2023Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
80. NeurIPS 2023Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
81. NeurIPS 2023Exposing Attention Glitches with Flip-Flop Language Modeling
82. NeurIPS 2023Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
83. NeurIPS 2023Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
84. NeurIPS 2023Faith and Fate: Limits of Transformers on Compositionality
85. NeurIPS 2023Fantastic Robustness Measures: The Secrets of Robust Generalization
86. NeurIPS 2023Fast Approximation of Similarity Graphs with Kernel Density Estimation
87. NeurIPS 2023Fast Attention Requires Bounded Entries
88. NeurIPS 2023Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees
89. NeurIPS 2023Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
90. NeurIPS 2023FELM: Benchmarking Factuality Evaluation of Large Language Models
91. NeurIPS 2023Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
92. NeurIPS 2023Generalizing Nonlinear ICA Beyond Structural Sparsity
93. NeurIPS 2023GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
94. NeurIPS 2023Glance and Focus: Memory Prompting for Multi-Event Video Question Answering
95. NeurIPS 2023GloptiNets: Scalable Non-Convex Optimization with Certificates
96. NeurIPS 2023Goal Driven Discovery of Distributional Differences via Language Descriptions
97. NeurIPS 2023GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
98. NeurIPS 2023GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
99. NeurIPS 2023Hierarchical VAEs provide a normative account of motion processing in the primate brain
100. NeurIPS 2023How to Turn Your Knowledge Graph Embeddings into Generative 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.