推理模型论文趋势 2023–2026

链式推理、测试时计算与显式推理能力

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 3,512 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

推理模型论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
20232715710933470
2024121846343311
202550020315970932
20263616525822041,799

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

全部推理模型论文

共 1,253 篇,第 25 / 26 页

  1. NeurIPS 2023Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
  2. NeurIPS 2023State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory
  3. NeurIPS 2023Statistical Insights into HSIC in High Dimensions
  4. NeurIPS 2023Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
  5. NeurIPS 2023Strong and Precise Modulation of Human Percepts via Robustified ANNs
  6. NeurIPS 2023Structure of universal formulas
  7. NeurIPS 2023Structured Semidefinite Programming for Recovering Structured Preconditioners
  8. NeurIPS 2023Survival Permanental Processes for Survival Analysis with Time-Varying Covariates
  9. NeurIPS 2023SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
  10. NeurIPS 2023SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
  11. NeurIPS 2023Switching Autoregressive Low-rank Tensor Models
  12. NeurIPS 2023Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
  13. NeurIPS 2023Systematic Visual Reasoning through Object-Centric Relational Abstraction
  14. NeurIPS 2023Tanh Works Better with Asymmetry
  15. NeurIPS 2023Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
  16. NeurIPS 2023Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
  17. NeurIPS 2023Test-Time Distribution Normalization for Contrastively Learned Visual-language Models
  18. NeurIPS 2023Test-time Training for Matching-based Video Object Segmentation
  19. NeurIPS 2023Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
  20. NeurIPS 2023TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
  21. NeurIPS 2023The Distortion of Binomial Voting Defies Expectation
  22. NeurIPS 2023The emergence of clusters in self-attention dynamics
  23. NeurIPS 2023The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
  24. NeurIPS 2023The geometry of hidden representations of large transformer models
  25. NeurIPS 2023The Impact of Positional Encoding on Length Generalization in Transformers
  26. NeurIPS 2023This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations
  27. NeurIPS 2023Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points
  28. NeurIPS 2023Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
  29. NeurIPS 2023TOA: Task-oriented Active VQA
  30. NeurIPS 2023Towards Efficient Image Compression Without Autoregressive Models
  31. NeurIPS 2023Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
  32. NeurIPS 2023Towards Test-Time Refusals via Concept Negation
  33. NeurIPS 2023Train 'n Trade: Foundations of Parameter Markets
  34. NeurIPS 2023Training Chain-of-Thought via Latent-Variable Inference
  35. NeurIPS 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Models
  36. NeurIPS 2023Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation
  37. NeurIPS 2023UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene
  38. NeurIPS 2023Understanding Social Reasoning in Language Models with Language Models
  39. NeurIPS 2023Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
  40. NeurIPS 2023Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions
  41. NeurIPS 2023Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model
  42. NeurIPS 2023UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
  43. NeurIPS 2023Universality laws for Gaussian mixtures in generalized linear models
  44. NeurIPS 2023Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
  45. NeurIPS 2023What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
  46. NeurIPS 2023What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
  47. NeurIPS 2023Where Did I Come From? Origin Attribution of AI-Generated Images
  48. NeurIPS 2023Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
  49. NeurIPS 2023Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models
  50. NeurIPS 2023Why think step by step? Reasoning emerges from the locality of experience

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查推理模型在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "reasoning-models"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

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