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 57 of 71

2801. ICLR 2024Hypothesis Search: Inductive Reasoning with Language Models
2802. ICLR 2024I-PHYRE: Interactive Physical Reasoning
2803. ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
2804. ICLR 2024Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning
2805. ICLR 2024Large Language Models as Analogical Reasoners
2806. ICLR 2024Large Language Models Cannot Self-Correct Reasoning Yet
2807. ICLR 2024Learning Performance-Improving Code Edits
2808. ICLR 2024Lemur: Harmonizing Natural Language and Code for Language Agents
2809. ICLR 2024Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
2810. ICLR 2024Let's Verify Step by Step
2811. ICLR 2024LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
2812. ICLR 2024Llemma: An Open Language Model for Mathematics
2813. ICLR 2024Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
2814. ICLR 2024Magnushammer: A Transformer-Based Approach to Premise Selection
2815. ICLR 2024MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
2816. ICLR 2024MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
2817. ICLR 2024MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
2818. ICLR 2024MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
2819. ICLR 2024MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
2820. ICLR 2024Neural Language of Thought Models
2821. ICLR 2024On the generalization capacity of neural networks during generic multimodal reasoning
2822. ICLR 2024On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
2823. ICLR 2024On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
2824. ICLR 2024On the Variance of Neural Network Training with respect to Test Sets and Distributions
2825. ICLR 2024Online GNN Evaluation Under Test-time Graph Distribution Shifts
2826. ICLR 2024OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
2827. ICLR 2024OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
2828. ICLR 2024Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
2829. ICLR 2024PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
2830. ICLR 2024Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
2831. ICLR 2024REFACTOR: Learning to Extract Theorems from Proofs
2832. ICLR 2024Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
2833. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
2834. ICLR 2024SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
2835. ICLR 2024Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
2836. ICLR 2024SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
2837. ICLR 2024Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
2838. ICLR 2024Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
2839. ICLR 2024Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
2840. ICLR 2024Teaching Arithmetic to Small Transformers
2841. ICLR 2024Test-time Adaptation against Multi-modal Reliability Bias
2842. ICLR 2024Test-Time Training on Nearest Neighbors for Large Language Models
2843. ICLR 2024TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
2844. ICLR 2024The Expressive Power of Transformers with Chain of Thought
2845. ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
2846. ICLR 2024Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
2847. ICLR 2024THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS
2848. ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
2849. ICLR 2024ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
2850. ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning

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.