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 7 of 36

301. ICLR 2026CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs
302. ICLR 2026CyclicReflex: Improving Reasoning Models via Cyclical Reflection Token Scheduling
303. ICLR 2026DAG-Math: Graph-Guided Mathematical Reasoning in LLMs
304. ICLR 2026Deep Think with Confidence
305. ICLR 2026DeepCompress: A Dual Reward Strategy for Dynamically Exploring and Compressing Reasoning Chains
306. ICLR 2026DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
307. ICLR 2026DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
308. ICLR 2026Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
309. ICLR 2026DePO: Demonstration-guided Policy Optimization for Molecular Optimization
310. ICLR 2026DepthLM: Metric Depth from Vision Language Models
311. ICLR 2026DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning
312. ICLR 2026Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
313. ICLR 2026DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference
314. ICLR 2026Differential Fine-Tuning Large Language Models Towards Better Diverse Reasoning Abilities
315. ICLR 2026Difficulty–Diversity Collaborative Filtering for Data-Efficient LLM Fine-Tuning
316. ICLR 2026Diffusion Language Models are Provably Optimal Parallel Samplers
317. ICLR 2026Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models
318. ICLR 2026Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling
319. ICLR 2026Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models
320. ICLR 2026Diversity-Enhanced Reasoning for Subjective Questions
321. ICLR 2026Diversity-Incentivized Exploration for Versatile Reasoning
322. ICLR 2026Do 3D Large Language Models Really Understand 3D Spatial Relationships?
323. ICLR 2026Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?
324. ICLR 2026Don’t Pass@$k$: A Bayesian Framework for Large Language Model Evaluation
325. ICLR 2026Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models
326. ICLR 2026DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
327. ICLR 2026Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing
328. ICLR 2026DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
329. ICLR 2026DSSA: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
330. ICLR 2026Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
331. ICLR 2026DynaGuard: A Dynamic Guardian Model With User-Defined Policies
332. ICLR 2026Dynamic Early Exit in Reasoning Models
333. ICLR 2026Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models
334. ICLR 2026e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
335. ICLR 2026Early Signs of Steganographic Capabilities in Frontier LLMs
336. ICLR 2026Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?
337. ICLR 2026Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning
338. ICLR 2026Echoes as Anchors: Probabilistic Costs and Attention Refocusing in LLM Reasoning
339. ICLR 2026EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget
340. ICLR 2026Efficient Ensemble Conditional Independence Test Framework for Causal Discovery
341. ICLR 2026Efficient Multimodal Spatial Reasoning via Dynamic and Asymmetric Routing
342. ICLR 2026Efficient Reasoning with Balanced Thinking
343. ICLR 2026Efficient Test-Time Scaling for Small Vision-Language Models
344. ICLR 2026Efficient Turing Machine Simulation with Transformers
345. ICLR 2026Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
346. ICLR 2026Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought
347. ICLR 2026Emergent Discrete Controller Modules for Symbolic Planning in Transformers
348. ICLR 2026Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
349. ICLR 2026EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning
350. ICLR 2026Energy-Based Transformers are Scalable Learners and Thinkers

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.