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 56 of 71

2751. CVPR 2024Language Model Guided Interpretable Video Action Reasoning
2752. CVPR 2024LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding
2753. CVPR 2024Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
2754. CVPR 2024LISA: Reasoning Segmentation via Large Language Model
2755. CVPR 2024LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
2756. CVPR 2024MedBN: Robust Test-Time Adaptation against Malicious Test Samples
2757. CVPR 2024Mind Artist: Creating Artistic Snapshots with Human Thought
2758. CVPR 2024Modality-Collaborative Test-Time Adaptation for Action Recognition
2759. CVPR 2024MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
2760. CVPR 2024NC-TTT: A Noise Constrastive Approach for Test-Time Training
2761. CVPR 2024PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
2762. CVPR 2024Real-Time Simulated Avatar from Head-Mounted Sensors
2763. CVPR 2024Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
2764. CVPR 2024Situational Awareness Matters in 3D Vision Language Reasoning
2765. CVPR 2024SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
2766. CVPR 2024Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA
2767. CVPR 2024T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory
2768. CVPR 2024TEA: Test-time Energy Adaptation
2769. CVPR 2024Test-Time Adaptation for Depth Completion
2770. CVPR 2024Test-Time Domain Generalization for Face Anti-Spoofing
2771. CVPR 2024Test-Time Linear Out-of-Distribution Detection
2772. CVPR 2024TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation
2773. CVPR 2024Unified Entropy Optimization for Open-Set Test-Time Adaptation
2774. CVPR 2024What How and When Should Object Detectors Update in Continually Changing Test Domains?
2775. ICLR 2024Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
2776. ICLR 2024Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
2777. ICLR 2024AgentBench: Evaluating LLMs as Agents
2778. ICLR 2024Amortizing intractable inference in large language models
2779. ICLR 2024Are Human-generated Demonstrations Necessary for In-context Learning?
2780. ICLR 2024At Which Training Stage Does Code Data Help LLMs Reasoning?
2781. ICLR 2024BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
2782. ICLR 2024Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
2783. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
2784. ICLR 2024Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
2785. ICLR 2024Can Large Language Models Infer Causation from Correlation?
2786. ICLR 2024Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
2787. ICLR 2024Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
2788. ICLR 2024Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
2789. ICLR 2024CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
2790. ICLR 2024COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
2791. ICLR 2024CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
2792. ICLR 2024Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
2793. ICLR 2024CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
2794. ICLR 2024Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization
2795. ICLR 2024DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
2796. ICLR 2024DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
2797. ICLR 2024DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
2798. ICLR 2024Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
2799. ICLR 2024Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
2800. ICLR 2024GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules

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.