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

1,799 papers, page 36 of 36

1751. NeurIPS 2026Test-Time Compute Games
1752. NeurIPS 2026Test-Time Graph Anomaly Detection via Shifted Augmentation with Dynamic Objective Scheduling
1753. NeurIPS 2026Test-Time Prompt-Agnostic Decomposition
1754. NeurIPS 2026Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck
1755. NeurIPS 2026The Capability Frontier of GRPO
1756. NeurIPS 2026The Communication Bottleneck: A Round-Trip Study of Compositional Serialization in Language Models
1757. NeurIPS 2026Thinking with Images as Continuous Policy: Numerical Visual Chain-of-Thought
1758. NeurIPS 2026Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators
1759. NeurIPS 2026Thinking with Visual Primitives
1760. NeurIPS 2026ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model
1761. NeurIPS 2026ThinkSafe: Self-Generated Safety Alignment for Reasoning Models
1762. NeurIPS 2026TIDES: Implicit Time-Awareness in Selective State Space Models
1763. NeurIPS 2026Tio: Language Models with Parallel Streams of Thoughts, Inputs and Outputs
1764. NeurIPS 2026To Think or Not to Think: Pre-Decisional Reasoning Budgets for Referring Audio-Visual Segmentation
1765. NeurIPS 2026TokenSwap: Benchmarking and Reducing the Modality Gap in Multimodal LLMs
1766. NeurIPS 2026Tool Verification for Test-Time Reinforcement Learning
1767. NeurIPS 2026Topological Periodicity Test (TopPT) via Confidence Bound of Time-Delay Embeddings
1768. NeurIPS 2026Topology-Aware Optimal Transport for Source-Free Test-Time Adaptation in Anomaly Segmentation
1769. NeurIPS 2026Toward Cognitive Supersensing in Multimodal Large Language Models
1770. NeurIPS 2026Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
1771. NeurIPS 2026Towards Generalizable Data Valuation: Learning an End-to-end Deep Model to Compute Shapley Values
1772. NeurIPS 2026Towards Principled Efficient Rollout Allocation in Test-Time Training
1773. NeurIPS 2026Train at the Moving Edge: Rollout-Efficient RL for Large Reasoning Models
1774. NeurIPS 2026Training on Documents About Monitoring Leads to CoT Obfuscation
1775. NeurIPS 2026Training Quality Determines Efficiency Boundaries in Test-Time Reasoning
1776. NeurIPS 2026Training with Harnesses: On-Policy Harness Self-Distillation for Complex Reasoning
1777. NeurIPS 2026TTB: Test-time MLP Baking for Efficient Rendering of Decoder-only View Synthesis Models
1778. NeurIPS 2026Understanding the Out-of-Distribution Generalization of Chain-of-Thought Reasoning in LLMs
1779. NeurIPS 2026Uniform-in-Time Weak Propagation of Chaos in Shallow Neural Networks
1780. NeurIPS 2026Unifying Reasoning and Planning through Energy Minimization
1781. NeurIPS 2026UniPath: Adaptive Coordination of Understanding and Generation for Unified Multimodal Reasoning
1782. NeurIPS 2026Universal and Efficient Computation with 2D Attention
1783. NeurIPS 2026UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs
1784. NeurIPS 2026Value-Aware Stochastic KV Cache Eviction for Reasoning Models
1785. NeurIPS 2026Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and Exploration
1786. NeurIPS 2026Visual Enhanced Depth Scaling for Multimodal Latent Reasoning
1787. NeurIPS 2026Voronoi-Markov chain and spatial entropy for point pattern analysis
1788. NeurIPS 2026Walking Through 3D Spaces: Spatial Routing for Referring 3D Gaussian Splatting Segmentation
1789. NeurIPS 2026Watching Itself Watch: Self-Auditing Visual Reliance for Video Reasoning
1790. NeurIPS 2026Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs
1791. NeurIPS 2026What MLLMs Learn about When they Learn about Multimodal Reasoning
1792. NeurIPS 2026What should post-training optimize? A test-time scaling law perspective
1793. NeurIPS 2026What’s Holding Back Latent Visual Reasoning?
1794. NeurIPS 2026When LLMs Know but Fail to Reason: Injecting Memory for Reasoning Enhancement
1795. NeurIPS 2026When Reasoning Meets Its Laws
1796. NeurIPS 2026Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression
1797. NeurIPS 2026Why Transformer-Based Language Models Need Explicit Mechanisms of Cognitive Control
1798. NeurIPS 2026Why Transformers Struggle with Distribution-Independent In-Context Learning
1799. NeurIPS 2026Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor’s Internal States

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.