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

913 papers, page 2 of 19

51. ICML 2026Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs
52. ICML 2026Beyond Majority Voting: Self-Reflective Test-Time Reinforcement Learning for LLM Reasoning
53. ICML 2026Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR
54. ICML 2026Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability
55. ICML 2026Beyond Static Pipelines: Learning Dynamic Workflows for Text-to-SQL
56. ICML 2026Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning
57. ICML 2026Biases in the Blind Spot: Detecting What LLMs Fail to Mention
58. ICML 2026BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation
59. ICML 2026Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling
60. ICML 2026Bridging the Grounding Gap in VideoQA via Typed Memory for Language-based Belief-State Reasoning
61. ICML 2026Cache Coherent Resampling for Efficient Test Time Scaling in LLM Reasoning via Adaptive Sequential Monte Carlo
62. ICML 2026CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
63. ICML 2026Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought
64. ICML 2026Can LLMs Reason Structurally? Benchmarking via the lens of Data Structures
65. ICML 2026Causal Dependency-Aware Unsupervised Routing for Large Reasoning Models
66. ICML 2026CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution
67. ICML 2026CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
68. ICML 2026CausalXRL: Explainable Reinforcement Learning through Causal Graph Reasoning
69. ICML 2026CauSciBench: Can LLMs Automate Causal Inference in Real-World Scientific Research?
70. ICML 2026Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE
71. ICML 2026CFPO: Counterfactual Policy Optimization for Multimodal Reasoning
72. ICML 2026Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding
73. ICML 2026Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
74. ICML 2026Chain-of-Thought Gradient Descent
75. ICML 2026Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
76. ICML 2026Characterizing, Evaluating, and Optimizing Complex Reasoning
77. ICML 2026Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models
78. ICML 2026ClinTutor-R1: Advancing Scalable and Robust One-to-Many Alignment in Clinical Socratic Education
79. ICML 2026Clipping Bottleneck: Stabilizing RLVR via Stochastic Recovery of Near-Boundary Signals
80. ICML 2026Closing the Loop: Universal Repository Representation with RPG-Encoder
81. ICML 2026Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning
82. ICML 2026CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers
83. ICML 2026CodeChemist: Test-Time Scaling for Low-Resource Code Generation via Functional Knowledge Transfer
84. ICML 2026CodeClash: Benchmarking Goal-Oriented Software Engineering
85. ICML 2026Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
86. ICML 2026CofactGVR: Counterfactual Intervention for Grounded Visual Reasoning
87. ICML 2026COFT: Counterfactual–Conformal Decoding for Fair Chain‑of‑Thought Reasoning in Large Language Models
88. ICML 2026CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning
89. ICML 2026Compile to Compress: Boosting Formal Theorem Provers by Compiler Outputs
90. ICML 2026Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
91. ICML 2026Conformal Thinking: Risk Control for Reasoning on a Compute Budget
92. ICML 2026CONGA:Confidence-and-Gradient-Aware Learning Rate Schedule for Test Time Adaptation
93. ICML 2026ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure
94. ICML 2026Context-Aware Reasoner: Enhancing Contextual Reasoning in Multimodal Large Language Models
95. ICML 2026Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
96. ICML 2026ConvexBench: Can LLMs Recognize Convex Functions?
97. ICML 2026CoRe: Collaborative Reasoning via Cross Teaching
98. ICML 2026Correcting in Hindsight: Editing Past Key-Value States for Robust LLM Reasoning
99. ICML 2026CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
100. ICML 2026Counterfactual Residual Data Augmentation for Regression

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.