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
932 papers, page 9 of 19
- ICML 2025STAIR: Improving Safety Alignment with Introspective Reasoning
- ICML 2025STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
- ICML 2025T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
- ICML 2025Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?
- ICML 2025Teaching Transformers Causal Reasoning through Axiomatic Training
- ICML 2025Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
- ICML 2025Test-Time Canonicalization by Foundation Models for Robust Perception
- ICML 2025Test-time Correlation Alignment
- ICML 2025Test-Time Learning for Large Language Models
- ICML 2025Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
- ICML 2025Test-Time Training Provably Improves Transformers as In-context Learners
- ICML 2025The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
- ICML 2025Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
- ICML 2025Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
- ICML 2025Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models
- ICML 2025TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
- ICML 2025UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
- ICML 2025Understanding Chain-of-Thought in LLMs through Information Theory
- ICML 2025Understanding the Logic of Direct Preference Alignment through Logic
- ICML 2025Universal Length Generalization with Turing Programs
- ICML 2025unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
- ICML 2025Variational Counterfactual Intervention Planning to Achieve Target Outcomes
- ICML 2025VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data
- ICML 2025video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
- ICML 2025Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning
- ICML 2025Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
- ICML 2025What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
- ICML 2025Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
- ICML 2025Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
- ICML 2025WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
- ICML 2025World Model Implanting for Test-time Adaptation of Embodied Agents
- ICML 2025ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
- NeurIPS 2025$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning
- NeurIPS 2025$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training
- NeurIPS 2025A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
- NeurIPS 2025A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
- 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
- NeurIPS 2025A learnability analysis on neuro-symbolic learning
- NeurIPS 2025A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
- NeurIPS 2025A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
- NeurIPS 2025A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
- NeurIPS 2025A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
- NeurIPS 2025A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding
- NeurIPS 2025Absolute Zero: Reinforced Self-play Reasoning with Zero Data
- NeurIPS 2025AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
- NeurIPS 2025Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
- NeurIPS 2025Accelerating RL for LLM Reasoning with Optimal Advantage Regression
- NeurIPS 2025AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
- NeurIPS 2025Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
- NeurIPS 2025Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models
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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.