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

932 papers, page 8 of 19

351. ICML 2025Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation
352. ICML 2025Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
353. ICML 2025Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
354. ICML 2025MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
355. ICML 2025Neural Genetic Search in Discrete Spaces
356. ICML 2025Noise Conditional Variational Score Distillation
357. ICML 2025On the Power of Context-Enhanced Learning in LLMs
358. ICML 2025One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
359. ICML 2025Optimizing Test-Time Compute via Meta Reinforcement Finetuning
360. ICML 2025PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs
361. ICML 2025PENCIL: Long Thoughts with Short Memory
362. ICML 2025PokéChamp: an Expert-level Minimax Language Agent
363. ICML 2025Policy Guided Tree Search for Enhanced LLM Reasoning
364. ICML 2025Position: A Theory of Deep Learning Must Include Compositional Sparsity
365. ICML 2025Position: Formal Mathematical Reasoning—A New Frontier in AI
366. ICML 2025Position: It Is Time We Test Neural Computation In Vitro
367. ICML 2025Position: Language model developers should report train-test overlap
368. ICML 2025Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning
369. ICML 2025Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods
370. ICML 2025Position: We Need An Algorithmic Understanding of Generative AI
371. ICML 2025Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs
372. ICML 2025Primal-Dual Neural Algorithmic Reasoning
373. ICML 2025Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective
374. ICML 2025PTTA: Purifying Malicious Samples for Test-Time Model Adaptation
375. ICML 2025Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
376. ICML 2025R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts
377. ICML 2025Ranked Entropy Minimization for Continual Test-Time Adaptation
378. ICML 2025RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation
379. ICML 2025Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems
380. ICML 2025Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation
381. ICML 2025Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment
382. ICML 2025ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
383. ICML 2025Regress, Don't Guess: A Regression-like Loss on Number Tokens for Language Models
384. ICML 2025RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
385. ICML 2025Rethinking Chain-of-Thought from the Perspective of Self-Training
386. ICML 2025Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
387. ICML 2025ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
388. ICML 2025Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?
389. ICML 2025rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
390. ICML 2025RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning
391. ICML 2025Safety Reasoning with Guidelines
392. ICML 2025SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
393. ICML 2025Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
394. ICML 2025Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
395. ICML 2025Scaling Test-Time Compute Without Verification or RL is Suboptimal
396. ICML 2025Self-Consistency Preference Optimization
397. ICML 2025ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
398. ICML 2025Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
399. ICML 2025Spatial Reasoning with Denoising Models
400. ICML 2025Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion

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.