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 6 of 8

251. NeurIPS 2026Reliable Chain-of-Thought via Prefix Consistency
252. NeurIPS 2026ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization
253. NeurIPS 2026RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
254. NeurIPS 2026ReSET: Accurate Latency-Critical NVFP4 Reasoning via Step-Aware Temperature Scaling
255. NeurIPS 2026Resolving Time-Frequency Ridge Crossings via Frequency-Rate Lifting
256. NeurIPS 2026Rethinking Expressivity and Efficiency in Test-Time Training
257. NeurIPS 2026Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS
258. NeurIPS 2026RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents
259. NeurIPS 2026RoSeViT: Role-Separated Vision Transformers for ARC Visual Reasoning
260. NeurIPS 2026RSPO: Reasoning-Supervised Policy Optimization for Long-Tail Autonomous Driving
261. NeurIPS 2026RTCBench: Evaluating Tool Use of Large Language Models Beyond Oracle Access
262. NeurIPS 2026Runtime Verification of Multiple Natural Language Criteria for Agent Governance
263. NeurIPS 2026Safe in Its Own Words: Self-Guided Safety Alignment for Multimodal Reasoning Models
264. NeurIPS 2026SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance
265. NeurIPS 2026Saliency-Aware Multi-Route Thinking: Grounding and Reasoning on Vision-Language Agents
266. NeurIPS 2026Same Signal, Opposite Meaning: Direction-Informed Adaptive Learning for LLM Agents
267. NeurIPS 2026SAVeR$^2$: Reasoning-based Safety Alignment for Large Reasoning Models via Verifiable Rewards
268. NeurIPS 2026Scalable Token-Level Hallucination Detection in Large Language Models
269. NeurIPS 2026Scaling Causal Reasoning with Increasingly Complex Causal Simulators
270. NeurIPS 2026SciR: A Controllable Benchmark for Scientific Reasoning in LLMs
271. NeurIPS 2026Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models
272. NeurIPS 2026See to Believe: Segmentation by Reasoning with Visual Evidence
273. NeurIPS 2026Seeing or Rationalizing? Scene-Evidence-Guided Chain-of-Thought for Faithful 3D Multimodal Reasoning
274. NeurIPS 2026Seeing Through the Chain: Understanding and Mitigating Hallucinations in Multimodal Large Reasoning Models
275. NeurIPS 2026Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models
276. NeurIPS 2026Seirênes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning
277. NeurIPS 2026Selected-Tail Reliability in Verifier-Guided Best-of-$N$ Inference
278. NeurIPS 2026Self-Correction as Transition Geometry: Internalizing Reasoning via Lifted State Policy Optimization
279. NeurIPS 2026Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains
280. NeurIPS 2026Self-Trained Verification for Training- and Test-Time Self-Improvement
281. NeurIPS 2026SIGMA: A Sigmoid-Gated Sampler for Test-Time Scaling in Diffusion Language Models
282. NeurIPS 2026Simple Test-Time Refinement for Plot-to-Code Generation via Visual-Code Diagnostics
283. NeurIPS 2026SLVR: Structured Latent Visual Reasoning via Human-like Reasoning Flows
284. NeurIPS 2026Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots
285. NeurIPS 2026SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning
286. NeurIPS 2026Sparse Expansion Utility: Identifying and Routing to Pivotal Steps in LLM Reasoning Chains
287. NeurIPS 2026Spatial-IQ: Deconstructing Spatial Intelligence via Hierarchical Capability Tests
288. NeurIPS 2026SPECS: Faster Test-Time Scaling through Speculative Drafts and Dynamic Switching
289. NeurIPS 2026Speculative Decoding Is Per-Token, Not Path
290. NeurIPS 2026Spend Only What You Need: Defect-Aware Residual Coverage for Efficient Multi-Agent Reasoning
291. NeurIPS 2026SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs
292. NeurIPS 2026Stability in Multi-Step Reasoning via Jacobian-based Error Accumulation Analysis
293. NeurIPS 2026State of Thought Enables Endogenous Reasoning
294. NeurIPS 2026SteadyThought: Mitigating LLM Under-Thinking via Thought-Level Preference Optimization
295. NeurIPS 2026STEER: Route-Aware Adaptive Reasoning for Autonomous Driving
296. NeurIPS 2026Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning
297. NeurIPS 2026Stop or Restart? Principled Inference Control for Large Reasoning Models via the Pandora's Box
298. NeurIPS 2026StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos
299. NeurIPS 2026Stress Testing Chain-of-Thought Monitoring Against Covert Misalignment
300. NeurIPS 2026Structural Rationale Distillation via Reasoning Space Compression

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.