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

109 papers, page 2 of 3

51. ICML 2023Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
52. ICML 2023Learning Hidden Markov Models When the Locations of Missing Observations are Unknown
53. ICML 2023Leveraging Proxy of Training Data for Test-Time Adaptation
54. ICML 2023LookupFFN: Making Transformers Compute-lite for CPU inference
55. ICML 2023Looped Transformers as Programmable Computers
56. ICML 2023Mimetic Initialization of Self-Attention Layers
57. ICML 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
58. ICML 2023Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
59. ICML 2023Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
60. ICML 2023Neural Algorithmic Reasoning with Causal Regularisation
61. ICML 2023Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
62. ICML 2023Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
63. ICML 2023Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
64. ICML 2023Nonparametric Density Estimation under Distribution Drift
65. ICML 2023ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
66. ICML 2023On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
67. ICML 2023On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
68. ICML 2023On Investigating the Conservative Property of Score-Based Generative Models
69. ICML 2023On Pitfalls of Test-Time Adaptation
70. ICML 2023On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
71. ICML 2023On the Convergence of Gradient Flow on Multi-layer Linear Models
72. ICML 2023On the Impact of Algorithmic Recourse on Social Segregation
73. ICML 2023On the Training Instability of Shuffling SGD with Batch Normalization
74. ICML 2023One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
75. ICML 2023Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
76. ICML 2023Out-of-Domain Robustness via Targeted Augmentations
77. ICML 2023Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
78. ICML 2023PAC Prediction Sets for Large Language Models of Code
79. ICML 2023PAL: Program-aided Language Models
80. ICML 2023Phase Transitions in the Detection of Correlated Databases
81. ICML 2023Poisoning Language Models During Instruction Tuning
82. ICML 2023Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
83. ICML 2023Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
84. ICML 2023Representer Point Selection for Explaining Regularized High-dimensional Models
85. ICML 2023Robust Budget Pacing with a Single Sample
86. ICML 2023Robust Explanation for Free or At the Cost of Faithfulness
87. ICML 2023Secure Federated Correlation Test and Entropy Estimation
88. ICML 2023Settling the Reward Hypothesis
89. ICML 2023SinFusion: Training Diffusion Models on a Single Image or Video
90. ICML 2023Specializing Smaller Language Models towards Multi-Step Reasoning
91. ICML 2023Statistical Learning under Heterogenous Distribution Shift
92. ICML 2023Structure-informed Language Models Are Protein Designers
93. ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
94. ICML 2023TAN Without a Burn: Scaling Laws of DP-SGD
95. ICML 2023Test-time Adaptation with Slot-Centric Models
96. ICML 2023Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
97. ICML 2023The Computational Complexity of Concise Hypersphere Classification
98. ICML 2023The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
99. ICML 2023The Power of Learned Locally Linear Models for Nonlinear Policy Optimization
100. ICML 2023The Test of Tests: A Framework for Differentially Private Hypothesis Testing

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.