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

652 papers, page 5 of 14

201. ICLR 2026Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models
202. ICLR 2026Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
203. ICLR 2026GoT-R1: Unleashing Reasoning Capability of Autoregressive Visual Generation with Reinforcement Learning
204. ICLR 2026GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning
205. ICLR 2026Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test
206. ICLR 2026Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI
207. ICLR 2026GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models
208. ICLR 2026Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
209. ICLR 2026HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
210. ICLR 2026HardcoreLogic: Challenging Large Reasoning Models with Long-tail Logic Puzzle Games
211. ICLR 2026Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation
212. ICLR 2026HARP: Hallucination Detection via Reasoning Subspace Projection
213. ICLR 2026HeurekaBench: A Benchmarking Framework for AI Co-scientist
214. ICLR 2026Hidden Patterns in Chain-of-Thought Reasoning
215. ICLR 2026HiPO: Self-Hint Policy Optimization for RLVR
216. ICLR 2026Hippoformer: Integrating Hippocampus-inspired Spatial Memory with Transformers
217. ICLR 2026How Dark Patterns Manipulate Web Agents
218. ICLR 2026How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use
219. ICLR 2026How Far Can Unsupervised RLVR Scale LLM Training?
220. ICLR 2026How reinforcement learning after next-token prediction facilitates learning
221. ICLR 2026How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks
222. ICLR 2026HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
223. ICLR 2026Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning
224. ICLR 2026Hybrid Training for Vision-Language-Action Models
225. ICLR 2026IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs
226. ICLR 2026ICPO: Provable and Practical In-Context Policy Optimization for Test-Time Scaling
227. ICLR 2026IGC-Net for conditional average potential outcome estimation over time
228. ICLR 2026Implicit Models: Expressive Power Scales with Test-Time Compute
229. ICLR 2026In-Context Algebra
230. ICLR 2026In-Place Test-Time Training
231. ICLR 2026Incentivizing LLM Reasoning via Reinforcement Learning with Functional Monte Carlo Tree Search
232. ICLR 2026Inferring the Invisible: Neuro-Symbolic Rule Discovery for Missing Value Imputation
233. ICLR 2026InfoDet: A Dataset for Infographic Element Detection
234. ICLR 2026InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
235. ICLR 2026Interleaving Reasoning for Better Text-to-Image Generation
236. ICLR 2026Internal Planning in Language Models: Characterizing Horizon and Branch Awareness
237. ICLR 2026InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
238. ICLR 2026Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
239. ICLR 2026Is In-Context Learning Learning?
240. ICLR 2026Is it Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort
241. ICLR 2026Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure
242. ICLR 2026It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
243. ICLR 2026IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs
244. ICLR 2026J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
245. ICLR 2026Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
246. ICLR 2026KaVa: Latent Reasoning via Compressed KV-Cache Distillation
247. ICLR 2026Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning
248. ICLR 2026KRAMABENCH: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
249. ICLR 2026LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
250. ICLR 2026Landscape of Thoughts: Visualizing the Reasoning Process of 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.