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

3,512 papers, page 58 of 71

2851. ICLR 2024Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
2852. ICLR 2024Towards Robust Multi-Modal Reasoning via Model Selection
2853. ICLR 2024Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
2854. ICLR 2024Understanding Expressivity of GNN in Rule Learning
2855. ICLR 2024ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
2856. ICLR 2024Video Decomposition Prior: Editing Videos Layer by Layer
2857. ICLR 2024What Algorithms can Transformers Learn? A Study in Length Generalization
2858. ICLR 2024When can transformers reason with abstract symbols?
2859. ICML 2024Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
2860. ICML 2024Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts
2861. ICML 2024Auto-Regressive Next-Token Predictors are Universal Learners
2862. ICML 2024BAT: Learning to Reason about Spatial Sounds with Large Language Models
2863. ICML 2024Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
2864. ICML 2024Chain-of-Thought Predictive Control
2865. ICML 2024CogBench: a large language model walks into a psychology lab
2866. ICML 2024Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
2867. ICML 2024Compute Better Spent: Replacing Dense Layers with Structured Matrices
2868. ICML 2024Conformal Predictions under Markovian Data
2869. ICML 2024ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
2870. ICML 2024Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
2871. ICML 2024Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
2872. ICML 2024CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
2873. ICML 2024Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
2874. ICML 2024Do Efficient Transformers Really Save Computation?
2875. ICML 2024Dynamic Correlation Clustering in Sublinear Update Time
2876. ICML 2024Evaluation of Test-Time Adaptation Under Computational Time Constraints
2877. ICML 2024Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems
2878. ICML 2024Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
2879. ICML 2024Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees
2880. ICML 2024Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
2881. ICML 2024GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
2882. ICML 2024Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
2883. ICML 2024How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
2884. ICML 2024How Language Model Hallucinations Can Snowball
2885. ICML 2024Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
2886. ICML 2024Improving Factuality and Reasoning in Language Models through Multiagent Debate
2887. ICML 2024In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
2888. ICML 2024InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
2889. ICML 2024InstructSpeech: Following Speech Editing Instructions via Large Language Models
2890. ICML 2024Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
2891. ICML 2024KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
2892. ICML 2024Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models
2893. ICML 2024Language Models with Conformal Factuality Guarantees
2894. ICML 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
2895. ICML 2024MathScale: Scaling Instruction Tuning for Mathematical Reasoning
2896. ICML 2024Matroid Semi-Bandits in Sublinear Time
2897. ICML 2024NExT: Teaching Large Language Models to Reason about Code Execution
2898. ICML 2024On the Independence Assumption in Neurosymbolic Learning
2899. ICML 2024Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
2900. ICML 2024Premise Order Matters in Reasoning with Large Language Models

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.