Reasoning Models papers, 2023–2026
Chain-of-thought, test-time compute, and explicit reasoning capabilities
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 3,512 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 271 | 57 | 109 | 33 | 470 |
| 2024 | 121 | 84 | 63 | 43 | 311 |
| 2025 | 500 | 203 | 159 | 70 | 932 |
| 2026 | 361 | 652 | 582 | 204 | 1,799 |
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
913 papers, page 18 of 19
- ICML 2023Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
- ICML 2023Interpretable Neural-Symbolic Concept Reasoning
- ICML 2023Iterative Approximate Cross-Validation
- ICML 2023Large Language Models Can Be Easily Distracted by Irrelevant Context
- ICML 2023Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
- ICML 2023Learning Hidden Markov Models When the Locations of Missing Observations are Unknown
- ICML 2023Leveraging Proxy of Training Data for Test-Time Adaptation
- ICML 2023LookupFFN: Making Transformers Compute-lite for CPU inference
- ICML 2023Looped Transformers as Programmable Computers
- ICML 2023Mimetic Initialization of Self-Attention Layers
- ICML 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
- ICML 2023Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
- ICML 2023Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
- ICML 2023Neural Algorithmic Reasoning with Causal Regularisation
- ICML 2023Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
- ICML 2023Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
- ICML 2023Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
- ICML 2023Nonparametric Density Estimation under Distribution Drift
- ICML 2023ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
- ICML 2023On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
- ICML 2023On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network
- ICML 2023On Investigating the Conservative Property of Score-Based Generative Models
- ICML 2023On Pitfalls of Test-Time Adaptation
- ICML 2023On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
- ICML 2023On the Convergence of Gradient Flow on Multi-layer Linear Models
- ICML 2023On the Impact of Algorithmic Recourse on Social Segregation
- ICML 2023On the Training Instability of Shuffling SGD with Batch Normalization
- ICML 2023One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
- ICML 2023Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
- ICML 2023Out-of-Domain Robustness via Targeted Augmentations
- ICML 2023Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
- ICML 2023PAC Prediction Sets for Large Language Models of Code
- ICML 2023PAL: Program-aided Language Models
- ICML 2023Phase Transitions in the Detection of Correlated Databases
- ICML 2023Poisoning Language Models During Instruction Tuning
- ICML 2023Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
- ICML 2023Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
- ICML 2023Representer Point Selection for Explaining Regularized High-dimensional Models
- ICML 2023Robust Budget Pacing with a Single Sample
- ICML 2023Robust Explanation for Free or At the Cost of Faithfulness
- ICML 2023Secure Federated Correlation Test and Entropy Estimation
- ICML 2023Settling the Reward Hypothesis
- ICML 2023SinFusion: Training Diffusion Models on a Single Image or Video
- ICML 2023Specializing Smaller Language Models towards Multi-Step Reasoning
- ICML 2023Statistical Learning under Heterogenous Distribution Shift
- ICML 2023Structure-informed Language Models Are Protein Designers
- ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
- ICML 2023TAN Without a Burn: Scaling Laws of DP-SGD
- ICML 2023Test-time Adaptation with Slot-Centric Models
- ICML 2023Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
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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.