Reasoning Models papers, 2023–2026
Chain-of-thought, test-time compute, and explicit reasoning capabilities
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 3,512 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 271 | 57 | 109 | 33 | 470 |
| 2024 | 121 | 84 | 63 | 43 | 311 |
| 2025 | 500 | 203 | 159 | 70 | 932 |
| 2026 | 361 | 652 | 582 | 204 | 1,799 |
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
932 papers, page 10 of 19
- NeurIPS 2025Activation-Guided Consensus Merging for Large Language Models
- NeurIPS 2025Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
- NeurIPS 2025Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
- NeurIPS 2025AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking
- NeurIPS 2025AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
- NeurIPS 2025AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models
- NeurIPS 2025AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents
- NeurIPS 2025AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
- NeurIPS 2025Analog Foundation Models
- NeurIPS 2025Analyzing the Power of Chain of Thought through Memorization Capabilities
- NeurIPS 2025Anchored Diffusion Language Model
- NeurIPS 2025AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models
- NeurIPS 2025Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
- NeurIPS 2025APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning
- NeurIPS 2025Are Language Models Efficient Reasoners? A Perspective from Logic Programming
- NeurIPS 2025Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
- NeurIPS 2025ARM: Adaptive Reasoning Model
- NeurIPS 2025AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science
- NeurIPS 2025Atom of Thoughts for Markov LLM Test-Time Scaling
- NeurIPS 2025Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities
- NeurIPS 2025Attention (as Discrete-Time Markov) Chains
- NeurIPS 2025Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings
- NeurIPS 2025Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models
- NeurIPS 2025Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models
- NeurIPS 2025AudSemThinker: Enhancing Audio-Language Models Through Reasoning over Semantics of Sound
- NeurIPS 2025Automated Model Discovery via Multi-modal & Multi-step Pipeline
- NeurIPS 2025AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling
- NeurIPS 2025AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
- NeurIPS 2025Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation
- NeurIPS 2025BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
- NeurIPS 2025Bag of Tricks for Inference-time Computation of LLM Reasoning
- NeurIPS 2025Benchmarking Large Language Models with Integer Sequence Generation Tasks
- NeurIPS 2025Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges
- NeurIPS 2025Best-of-N Jailbreaking
- NeurIPS 2025Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations
- NeurIPS 2025Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs
- NeurIPS 2025Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
- NeurIPS 2025Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
- NeurIPS 2025Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data
- NeurIPS 2025BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
- NeurIPS 2025BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception
- NeurIPS 2025BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
- NeurIPS 2025Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
- NeurIPS 2025BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning
- NeurIPS 2025BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
- NeurIPS 2025Buffer layers for Test-Time Adaptation
- NeurIPS 2025C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
- NeurIPS 2025CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward
- NeurIPS 2025CALM: Culturally Self-Aware Language Models
- NeurIPS 2025Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs
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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.