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
271 papers, page 1 of 6
- NeurIPS 2023[Re] Numerical influence of ReLU'(0) on backpropagation
- NeurIPS 2023$\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models
- NeurIPS 20233D-Aware Visual Question Answering about Parts, Poses and Occlusions
- NeurIPS 20233D-LLM: Injecting the 3D World into Large Language Models
- NeurIPS 2023A benchmark of categorical encoders for binary classification
- NeurIPS 2023A Diffusion-Model of Joint Interactive Navigation
- NeurIPS 2023A Logic for Expressing Log-Precision Transformers
- NeurIPS 2023A Massive Scale Semantic Similarity Dataset of Historical English
- NeurIPS 2023A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
- NeurIPS 2023Active Reasoning in an Open-World Environment
- NeurIPS 2023Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
- NeurIPS 2023Adaptive Test-Time Personalization for Federated Learning
- NeurIPS 2023Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
- NeurIPS 2023Anonymous and Copy-Robust Delegations for Liquid Democracy
- NeurIPS 2023Approximate inference of marginals using the IBIA framework
- NeurIPS 2023Are Emergent Abilities of Large Language Models a Mirage?
- NeurIPS 2023ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
- NeurIPS 2023Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect
- NeurIPS 2023Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings
- NeurIPS 2023Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset
- NeurIPS 2023Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
- NeurIPS 2023BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
- NeurIPS 2023Boosting Adversarial Transferability by Achieving Flat Local Maxima
- NeurIPS 2023Budgeting Counterfactual for Offline RL
- NeurIPS 2023Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
- NeurIPS 2023BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
- NeurIPS 2023Can Language Models Solve Graph Problems in Natural Language?
- NeurIPS 2023Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization
- NeurIPS 2023Causal Interpretation of Self-Attention in Pre-Trained Transformers
- NeurIPS 2023Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
- NeurIPS 2023Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
- NeurIPS 2023Change point detection and inference in multivariate non-parametric models under mixing conditions
- NeurIPS 2023Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker
- NeurIPS 2023Circuit as Set of Points
- NeurIPS 2023CLadder: Assessing Causal Reasoning in Language Models
- NeurIPS 2023Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
- NeurIPS 2023CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence
- NeurIPS 2023Collaborative Alignment of NLP Models
- NeurIPS 2023Computing a human-like reaction time metric from stable recurrent vision models
- NeurIPS 2023Concentration analysis of multivariate elliptic diffusions
- NeurIPS 2023Conditional independence testing under misspecified inductive biases
- NeurIPS 2023Coneheads: Hierarchy Aware Attention
- NeurIPS 2023Continuous-Time Functional Diffusion Processes
- NeurIPS 2023Contrastive Sampling Chains in Diffusion Models
- NeurIPS 2023Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels
- NeurIPS 2023Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
- NeurIPS 2023Counterfactual Memorization in Neural Language Models
- NeurIPS 2023DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
- NeurIPS 2023Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory
- NeurIPS 2023Deductive Verification of Chain-of-Thought Reasoning
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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.