推理模型论文趋势 2023–2026

主要结论

• 推理模型论文从 2023 年的 470 篇增长到 2026 年的 1,799 篇，三年间扩大到约 3.8 倍。
• NeurIPS 是发推理模型论文最多的会议，2023–2026 年共 1,253 篇，占四个会议总量的 36%。
• 交叉方向里涨得最快的是强化学习：同时属于两个主题的论文从 2023 年的 9 篇增至 2026 年的 437 篇。
• 在「前沿系统」的 4 个主题里，它的 2026 年论文数排第 3；同组增长最快的AI 智能体是 12 倍，推理模型是 3.8 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部推理模型论文

共 913 篇，第 16 / 19 页

751. ICML 2024Conformal Predictions under Markovian Data
752. ICML 2024ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
753. ICML 2024Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
754. ICML 2024Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
755. ICML 2024CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
756. ICML 2024Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
757. ICML 2024Do Efficient Transformers Really Save Computation?
758. ICML 2024Dynamic Correlation Clustering in Sublinear Update Time
759. ICML 2024Evaluation of Test-Time Adaptation Under Computational Time Constraints
760. ICML 2024Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems
761. ICML 2024Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
762. ICML 2024Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees
763. ICML 2024Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
764. ICML 2024GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
765. ICML 2024Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
766. ICML 2024How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
767. ICML 2024How Language Model Hallucinations Can Snowball
768. ICML 2024Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
769. ICML 2024Improving Factuality and Reasoning in Language Models through Multiagent Debate
770. ICML 2024In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
771. ICML 2024InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
772. ICML 2024InstructSpeech: Following Speech Editing Instructions via Large Language Models
773. ICML 2024Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
774. ICML 2024KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
775. ICML 2024Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models
776. ICML 2024Language Models with Conformal Factuality Guarantees
777. ICML 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
778. ICML 2024MathScale: Scaling Instruction Tuning for Mathematical Reasoning
779. ICML 2024Matroid Semi-Bandits in Sublinear Time
780. ICML 2024NExT: Teaching Large Language Models to Reason about Code Execution
781. ICML 2024On the Independence Assumption in Neurosymbolic Learning
782. ICML 2024Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
783. ICML 2024Premise Order Matters in Reasoning with Large Language Models
784. ICML 2024Profile Reconstruction from Private Sketches
785. ICML 2024Prompt Sketching for Large Language Models
786. ICML 2024Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
787. ICML 2024Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
788. ICML 2024Slot Abstractors: Toward Scalable Abstract Visual Reasoning
789. ICML 2024Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities
790. ICML 2024StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
791. ICML 2024Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
792. ICML 2024Stay on Topic with Classifier-Free Guidance
793. ICML 2024STEER: Assessing the Economic Rationality of Large Language Models
794. ICML 2024Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
795. ICML 2024Structured Chemistry Reasoning with Large Language Models
796. ICML 2024Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
797. ICML 2024Test-Time Model Adaptation with Only Forward Passes
798. ICML 2024Toward Adaptive Reasoning in Large Language Models with Thought Rollback
799. ICML 2024Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
800. ICML 2024Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot

常见问题

2023–2026 年四大会议一共有多少篇推理模型论文？

共 3,512 篇，按年份分别是 2023 年 470 篇、2024 年 311 篇、2025 年 932 篇、2026 年 1,799 篇。

NeurIPS 2026 有多少篇推理模型论文？

NeurIPS 2026 有 361 篇推理模型论文，上一届是 500 篇。

ICLR 2026 有多少篇推理模型论文？

ICLR 2026 有 652 篇推理模型论文，上一届是 203 篇。

ICML 2026 有多少篇推理模型论文？

ICML 2026 有 582 篇推理模型论文，上一届是 159 篇。

CVPR 2026 有多少篇推理模型论文？

CVPR 2026 有 204 篇推理模型论文，上一届是 70 篇。

哪个会议的推理模型论文最多？

NeurIPS，2023–2026 年共 1,253 篇。