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 15 of 19

701. NeurIPS 2025NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning
702. NeurIPS 2025Neurosymbolic Diffusion Models
703. NeurIPS 2025Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
704. NeurIPS 2025NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation
705. NeurIPS 2025NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
706. NeurIPS 2025nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning
707. NeurIPS 2025OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning
708. NeurIPS 2025OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
709. NeurIPS 2025On Learning Verifiers and Implications to Chain-of-Thought Reasoning
710. NeurIPS 2025On Reasoning Strength Planning in Large Reasoning Models
711. NeurIPS 2025On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study
712. NeurIPS 2025On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization
713. NeurIPS 2025Once Upon an Input: Reasoning via Per-Instance Program Synthesis
714. NeurIPS 2025One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
715. NeurIPS 2025Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
716. NeurIPS 2025OpenCUA: Open Foundations for Computer-Use Agents
717. NeurIPS 2025OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles
718. NeurIPS 2025Optimizing Anytime Reasoning via Budget Relative Policy Optimization
719. NeurIPS 2025Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
720. NeurIPS 2025OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
721. NeurIPS 2025PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation
722. NeurIPS 2025Parameter Dynamics of Online Machine Learning and Test-time Adaptation
723. NeurIPS 2025Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation
724. NeurIPS 2025Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers
725. NeurIPS 2025PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning
726. NeurIPS 2025Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
727. NeurIPS 2025PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
728. NeurIPS 2025PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly
729. NeurIPS 2025PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments
730. NeurIPS 2025Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning
731. NeurIPS 2025Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL
732. NeurIPS 2025PlanU: Large Language Model Reasoning through Planning under Uncertainty
733. NeurIPS 2025Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning
734. NeurIPS 2025PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts
735. NeurIPS 2025Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning
736. NeurIPS 2025Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
737. NeurIPS 2025Privacy Reasoning in Ambiguous Contexts
738. NeurIPS 2025Probabilistic Reasoning with LLMs for Privacy Risk Estimation
739. NeurIPS 2025Prompting as Scientific Inquiry
740. NeurIPS 2025ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
741. NeurIPS 2025ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning
742. NeurIPS 2025Provable Scaling Laws for the Test-Time Compute of Large Language Models
743. NeurIPS 2025PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
744. NeurIPS 2025PurpCode: Reasoning for Safer Code Generation
745. NeurIPS 2025QFFT, Question-Free Fine-Tuning for Adaptive Reasoning
746. NeurIPS 2025Quantifying Elicitation of Latent Capabilities in Language Models
747. NeurIPS 2025QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
748. NeurIPS 2025R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
749. NeurIPS 2025R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO
750. NeurIPS 2025R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

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.