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

361 papers, page 1 of 8

1. NeurIPS 2026A Batched Hartigan's $k$-Means Clustering
2. NeurIPS 2026A Diagnostic Benchmark for Layered Layout and Template-Variant Reasoning
3. NeurIPS 2026A Mechanistic Analysis of Looped Reasoning Language Models
4. NeurIPS 2026A Solvable Model of Chain-of-Thought in In-Context Learning
5. NeurIPS 2026A Theory of Online Learning with Autoregressive Chain-of-Thought Reasoning
6. NeurIPS 2026A Tight Hierarchy For Chain of Thought
7. NeurIPS 2026A$^3$Bench: A Benchmark for Compositional Reasoning over Aggressive Interactions in Videos
8. NeurIPS 2026Activation Functions Shape Token Synchronization in Stochastic Transformer Dynamics
9. NeurIPS 2026Active Probabilistic Reasoning in Humans and LLMs
10. NeurIPS 2026AdaKVQ: Adaptive Mixed-Precision KV Cache Quantization For Efficient Reasoning Models
11. NeurIPS 2026Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models
12. NeurIPS 2026Adversarially Attacking Symbolic Vocabulary Vulnerabilities In LLM Planners
13. NeurIPS 2026Agents as Neuro-Symbolic Reasoners: Path Feasibility Reasoning for Precise Static Bug Detection
14. NeurIPS 2026AI Models Can Provably Hide Arbitrary Capabilities
15. NeurIPS 2026AirIAD: Agentic Iterative Reasoning for Industrial Anomaly Detection
16. NeurIPS 2026ALTER: An Allen's Algebra-Based Evaluation Framework for Temporal Reasoning of LLMs
17. NeurIPS 2026An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
18. NeurIPS 2026ANCHOR: Audio-Visually Grounded Chain-of-Thought Reasoning Benchmark
19. NeurIPS 2026Anchoring Reasoning Distillation via Syntactic Constraints
20. NeurIPS 2026Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information
21. NeurIPS 2026Anymotion: A Dataset, Benchmark, and Baseline for Controllable Human Motion Editing
22. NeurIPS 2026Anytime-Valid PAC-Bayes Certificates for Adaptive Test-Time Scaling
23. NeurIPS 2026Argument Graph Uncertainty: Quantifying Uncertainty from the Logical Structure of Reasoning Chains
24. NeurIPS 2026Attention Drift: What Auto-Regressive Speculative Decoding Models Learn
25. NeurIPS 2026Attention-based PCA
26. NeurIPS 2026AURA: An Autonomous Retouching Agent with Photographic Visual Thinking
27. NeurIPS 2026AutoDataBench: How Far Are LLM Agents from Autonomously Engineering Post-Training Data Pipelines?
28. NeurIPS 2026AVIS: Adaptive Test-Time Scaling for Vision–Language Models
29. NeurIPS 2026Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback
30. NeurIPS 2026Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs
31. NeurIPS 2026Bernini: Latent Semantic Planning for Video Diffusion
32. NeurIPS 2026Best Arm Identification in Generalized Linear Bandits via Hybrid Feedback
33. NeurIPS 2026Beyond [SEG] Tokens: Training-Free Video Reasoning Segmentation via Counterfactual Inference and Contrastive Concept
34. NeurIPS 2026Beyond Ground Truth: Evaluating Non-Verifiable Reasoning in LLMs through Moral Robustness
35. NeurIPS 2026Beyond What Seems Necessary: Hidden Gains from Scaling Training-Time Reasoning Length under Outcome Supervision
36. NeurIPS 2026Bias-Variance Optimized Preference Optimization for Large Reasoning Models
37. NeurIPS 2026Bits Beat Tokens: A Regret Rate Distortion Theory for Large Language Model Agents
38. NeurIPS 2026Block Sparse Flash Attention
39. NeurIPS 2026Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models
40. NeurIPS 2026Boule or Baguette? A Study on Task Topology, Length Generalization, and the Benefit of Reasoning Trace
41. NeurIPS 2026BrainCoT: A Multi-Task Zero-Shot Brain Signal Foundation Model with Neurometric-Anchored Chain-of-Thought Reasoning
42. NeurIPS 2026Bridging Compute- and Data-Optimal Pretraining
43. NeurIPS 2026Bridging Structure and Language: Graph-Based Visual Reasoning for Autonomous Road Understanding
44. NeurIPS 2026CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating
45. NeurIPS 2026CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning
46. NeurIPS 2026CellularS2-Bench: A Staged, Evidence-Grounded Benchmark for Cellular Network Security Reasoning
47. NeurIPS 2026Chain-of-Thought Is Not Explainability
48. NeurIPS 2026ChainSpace: A Chained-Reasoning Paradigm for Spatial Intelligence
49. NeurIPS 2026ChartArena: A Unified Benchmark with Atomic-Primitive Reasoning for Chart Parsing
50. NeurIPS 2026CineMME: Benchmarking Fine-Grained Perception and Plot Reasoning in Multimodal Large Language Models

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.