药物发现论文趋势 2023–2026

分子与蛋白设计

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 578 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

药物发现论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20232122201679
202449234211125
202564483912163
2026100376311211

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

全部药物发现论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 211 篇，第 4 / 5 页

  1. NeurIPS 2026Fiedler-Regularized Causal Discovery for Sparse Connected DAGs
  2. NeurIPS 2026Finite Resources False Discovery Rate Control on Structured Hypothesis Spaces
  3. NeurIPS 2026Flexible Flows for Biological Sequence Design
  4. NeurIPS 2026From I/O to Code with Discovery Agent
  5. NeurIPS 2026Generating Physically Consistent Molecules with Energy-Based Models
  6. NeurIPS 2026GenZ: Hybrid statistical–foundational models for knowledge discovery from real-valued multidimensional targets
  7. NeurIPS 2026GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures
  8. NeurIPS 2026Hodge Laplacian Quasi-Harmonic Flows for Option Discovery
  9. NeurIPS 2026HyperTree: Scalable Unsupervised Hierarchy Discovery in Hyperbolic Space
  10. NeurIPS 2026Improving constraint-based discovery with robust propagation and LLM priors
  11. NeurIPS 2026Integrating Background Knowledge for Scalable Causal Discovery
  12. NeurIPS 2026Interpreting Latent Protein Language Model Features with Geometric Annotations
  13. NeurIPS 2026Learning Generative Dynamics for 3D Molecule Generation via Sequential Neuro-Symbolic Constraints
  14. NeurIPS 2026Lifting Biomolecular Data Acquisition
  15. NeurIPS 2026LLM-AutoSciLab: Closed-Loop Scientific Law Discovery via Active Experimentation with LLMs
  16. NeurIPS 2026LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
  17. NeurIPS 2026Mapping Uncharted Symmetries: Machine Discovery in Combinatorics
  18. NeurIPS 2026Mimicking the Physicist's Eye: A VLM-centric Approach for Physics Formula Discovery
  19. NeurIPS 2026MIND-DDI: Multi-Omics Interpretable Drug-Drug Interaction Prediction with Joint Optimization of Graph Structure, Neural Architecture, and Symbolic Rules
  20. NeurIPS 2026MolSpecFlow: Modality-Incomplete Molecular--Spectral Learning for MS/MS
  21. NeurIPS 2026MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
  22. NeurIPS 2026Multi-Oracle Agreement Reveals the Limits of Self-Consistency Evaluation in RNA Design
  23. NeurIPS 2026Multi-Part Object Representations via Graph Structures and Co-Part Discovery
  24. NeurIPS 2026NORMA: Norm-Guided Explanation Subgraph Discovery
  25. NeurIPS 2026On the Selectivity of Generative Models in Structure-Based Drug Design
  26. NeurIPS 2026Open-Ended Scientific Discovery and the Social Dynamics of Evolving Agent Networks
  27. NeurIPS 2026Optimizing Analytic Constants via AI-Guided Lean Proof Refinement
  28. NeurIPS 2026PAIR-CI: Calibrated Conditional Independence Testing for Causal Discovery with Incomplete Data
  29. NeurIPS 2026PIGRAM: An Interpretable Patch--Motif Interaction Grammar for Protein--Nucleic-Acid Recognition
  30. NeurIPS 2026Position: Machine Learning Models for Reaction Transition States Deserve Better
  31. NeurIPS 2026Preserving DEG Rankings for Gene Discovery in Histology-Based Spatial Gene Expression Prediction
  32. NeurIPS 2026Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design
  33. NeurIPS 2026ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design
  34. NeurIPS 2026ProtGlycanDock: Towards Accurate Protein-Glycan Docking with Tailored Dataset, Benchmark and Model
  35. NeurIPS 2026Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization
  36. NeurIPS 2026QT-Net: Rethinking Evaluation of AI Models in Atomic Chemical Space
  37. NeurIPS 2026Reusable Conditional Resampling via Flow Matching for Constraint-Based Causal Discovery
  38. NeurIPS 2026RnR: a meta-solver for causal discovery in undersampled time series data
  39. NeurIPS 2026Runtime Analysis of Cartesian Genetic Programming on MAX: A Proven Exponential Speedup
  40. NeurIPS 2026SCDM: Scalable Causal Discovery in Nonlinear Temporal Systems with Meta-Learning
  41. NeurIPS 2026SciResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
  42. NeurIPS 2026ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection
  43. NeurIPS 2026Screening Lipid Nanoparticles through Structure-Ratio Alignment
  44. NeurIPS 2026ScreenShot: A Foundation Model for Few-Shot Combination Drug Screening
  45. NeurIPS 2026Seen-Constrained Model-Order Selection for Unknown-$K$ Generalized Category Discovery
  46. NeurIPS 2026Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets
  47. NeurIPS 2026Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
  48. NeurIPS 2026SLOT-IR: Learning Disentangled Slot Representations for Infrared Spectral Unmixing
  49. NeurIPS 2026SNACK: A Sequential Notation Framework for Probabilistic Graph Generation
  50. NeurIPS 2026Sparse Biological Features Reveal Early Functional Commitment in Diffusion Protein Language Models

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 查药物发现在 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": "drug-discovery"}

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药物发现论文？
共 578 篇，按年份分别是 2023 年 79 篇、2024 年 125 篇、2025 年 163 篇、2026 年 211 篇。
NeurIPS 2026 有多少篇药物发现论文？
NeurIPS 2026 有 100 篇药物发现论文，上一届是 64 篇。
ICLR 2026 有多少篇药物发现论文？
ICLR 2026 有 37 篇药物发现论文，上一届是 48 篇。
ICML 2026 有多少篇药物发现论文？
ICML 2026 有 63 篇药物发现论文，上一届是 39 篇。
CVPR 2026 有多少篇药物发现论文？
CVPR 2026 有 11 篇药物发现论文，上一届是 12 篇。
哪个会议的药物发现论文最多？
NeurIPS，2023–2026 年共 234 篇。

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