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 34 of 36

1651. NeurIPS 2026OpenCoF: Learning to Reason Through Video Generation
1652. NeurIPS 2026OpenMedReason: Scientific Reasoning Supervision for Medical Vision–Language Models
1653. NeurIPS 2026Operads for compositional reasoning in LLMs
1654. NeurIPS 2026OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping
1655. NeurIPS 2026Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data
1656. NeurIPS 2026PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning
1657. NeurIPS 2026Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning
1658. NeurIPS 2026Personal Visual Memory from Explicit and Implicit Evidence
1659. NeurIPS 2026PerturbReason: A Knowledge-Grounded Benchmark and Framework for Cell-State–Conditioned Mechanistic Reasoning of Perturbation Effects
1660. NeurIPS 2026Phases of Muon: When Muon Eclipses SignSGD
1661. NeurIPS 2026Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning
1662. NeurIPS 2026Point-to-Manifold Geometry: Flexibly Overcoming the Curse of Dimensionality in Neural Computational Units
1663. NeurIPS 2026Position: Robust Reasoning Requires Internal Time, Not Scale Alone
1664. NeurIPS 2026PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks
1665. NeurIPS 2026Predicting and improving test-time scaling laws via reward tail-guided search
1666. NeurIPS 2026Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling
1667. NeurIPS 2026PRISM-Bench: A Benchmark of Puzzle-Based Visual Tasks with CoT Error Detection
1668. NeurIPS 2026Probabilistic Recursive Reasoning
1669. NeurIPS 2026Probabilistic Tiny Recursive Model
1670. NeurIPS 2026Probing the Trajectories of Reasoning Traces in Large Language Models
1671. NeurIPS 2026Provable Test-Time Scaling for Beam Search in LLM Reasoning
1672. NeurIPS 2026Quantized Reasoning Models Think They Need to Think Longer, but They Do Not
1673. NeurIPS 2026Random Attention Pattern Learning Enables Emergent Capabilities
1674. NeurIPS 2026Reading Between the Dots: Decoding Hidden Computation across Filler Tokens
1675. NeurIPS 2026Reading the Unreadable: Text-Aware Image Super-Resolution Needs Reasoning
1676. NeurIPS 2026Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners
1677. NeurIPS 2026Reasoning over Coupled Receptive Fields: Eliminating Subgraph Redundancy at Scale
1678. NeurIPS 2026Reasoning Pathologies in Large Language Models: A Diagnostic Perspective
1679. NeurIPS 2026Reasoning with Sampling: Cutting at Decision Points
1680. NeurIPS 2026Reasoning-Aware IRT: Explainable Evaluation of Test-Time Scaling in Reasoning Models
1681. NeurIPS 2026Reasoning-Trace Collapse: Evaluating the Loss of Explicit Reasoning During Fine-Tuning
1682. NeurIPS 2026ReasoningShield: Safety Moderation over Reasoning Traces of Large Reasoning Models
1683. NeurIPS 2026Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR
1684. NeurIPS 2026RECAP: Looking Once Is Not Enough for Vision-Language Reasoning
1685. NeurIPS 2026RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection
1686. NeurIPS 2026ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation
1687. NeurIPS 2026Relaxation-Aligned State Control for Test-Time Scaling in Generative Combinatorial Optimization
1688. NeurIPS 2026Relaxed On-Policy Distillation: Selective Credit Allocation for Scaling Reasoning Efficiently
1689. NeurIPS 2026Reliable Chain-of-Thought via Prefix Consistency
1690. NeurIPS 2026ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization
1691. NeurIPS 2026RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
1692. NeurIPS 2026ReSET: Accurate Latency-Critical NVFP4 Reasoning via Step-Aware Temperature Scaling
1693. NeurIPS 2026Resolving Time-Frequency Ridge Crossings via Frequency-Rate Lifting
1694. NeurIPS 2026Rethinking Expressivity and Efficiency in Test-Time Training
1695. NeurIPS 2026Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS
1696. NeurIPS 2026RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents
1697. NeurIPS 2026RoSeViT: Role-Separated Vision Transformers for ARC Visual Reasoning
1698. NeurIPS 2026RSPO: Reasoning-Supervised Policy Optimization for Long-Tail Autonomous Driving
1699. NeurIPS 2026RTCBench: Evaluating Tool Use of Large Language Models Beyond Oracle Access
1700. NeurIPS 2026Runtime Verification of Multiple Natural Language Criteria for Agent Governance

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.