多任务排序论文趋势 2023–2026

多目标排序

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,440 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

多任务排序论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202356585583252
20241103867100315
2025144758094393
202617579107119480

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

全部多任务排序论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 480 篇，第 8 / 10 页

  1. NeurIPS 2026Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
  2. NeurIPS 2026Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling
  3. NeurIPS 2026Driver Attention as Competitive Allocation: A Scene--Task-Aware Dual-Branch Framework
  4. NeurIPS 2026Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
  5. NeurIPS 2026EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction
  6. NeurIPS 2026Evaluating Whether LLMs Can Reliably Connect the DOTs?
  7. NeurIPS 2026Event based Multi-Velocity-Scale Imaging
  8. NeurIPS 2026EvoCodeBench: Evaluating Coding Agents in Multi-Turn Iterative Interactions
  9. NeurIPS 2026Fair Bubble Sort: Provably Optimal Fair Ranking with Continuous Sensitive Attributes
  10. NeurIPS 2026Few-shot Task Learning via Compositional Concept Inference
  11. NeurIPS 2026FlashFFN: Multi-Head Decomposition Enables I/O-Aware Feed-Forward Network
  12. NeurIPS 2026FlowSteer: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems
  13. NeurIPS 2026Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap
  14. NeurIPS 2026Frequency-Structured Hamiltonian Neural Network for Multi-Timescale Dynamics
  15. NeurIPS 2026From Detection to Understanding — A Multi-Task Dataset for Traffic Anomaly Reasoning
  16. NeurIPS 2026Frontier Task Synthesis Via Solution-Centric Evolution
  17. NeurIPS 2026Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness
  18. NeurIPS 2026Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
  19. NeurIPS 2026Group Perspective Matters: Regulating Debate Relationships Can Mitigate Blind Conformity in Multi-Agent Debate
  20. NeurIPS 2026Grouped Adaptive Head Mixing for Personalized Multi-Task Federated Reinforcement Learning
  21. NeurIPS 2026Heterogeneous Judge-Aware Ranking with Sensitivity, Disagreement, and Confidence
  22. NeurIPS 2026Hitting Time Isomorphism for Multi-Stage Planning with Foundation Policies
  23. NeurIPS 2026Hydra: Towards Transferable Multi-Task Learning on Temporal Graphs
  24. NeurIPS 2026Implicit Value Probing: Inferring Human Value Preferences via Strategic Multi-Turn Conversations
  25. NeurIPS 2026Individuals Matter: Improving Deep Multi-View Clustering via Explicit Single-View Enhancement
  26. NeurIPS 2026InfoFlow: A Framework for Multi-Layer Transformer Analysis
  27. NeurIPS 2026Insight-Driven Search: A Framework for Multi-objective Automated Heuristic Design with Large Language Models
  28. NeurIPS 2026InTAct: Interval-based Task Activation Consolidation for Continual Learning
  29. NeurIPS 2026Interpretable Multiway-Split Trees
  30. NeurIPS 2026Intrinsically Interpretable Attention via Sparse Post-Training
  31. NeurIPS 2026Iterative ILP with Update-Size Control for Reducing Surrogate-Task Mismatch in Bit-Width Selection
  32. NeurIPS 2026Jacobian Descent for Multi-Objective Optimization
  33. NeurIPS 2026Justitia: Fair and Efficient Scheduling of Task-parallel LLM Agents with Selective Pampering
  34. NeurIPS 2026Learning from Ranking Feedback: Improved Regret Bounds via Independence Preserving Rank Breaking
  35. NeurIPS 2026Learning Unbiased Permutations via Flow Matching
  36. NeurIPS 2026Likelihood-free inference of phylogenetic tree posterior distributions
  37. NeurIPS 2026Local Policy Manifolds for Efficient Multi-Objective Reinforcement Learning
  38. NeurIPS 2026Lyapunov-Driven Optimistic Learning for Online Scheduling with Multi-Stage Tasks
  39. NeurIPS 2026MAdam: Metric-Aware Multi-Objective Adam
  40. NeurIPS 2026MAGE: Towards Generalizable Multi-timescale EEG Representations
  41. NeurIPS 2026MANGO:Multi-Angle Neural Gated Operators for Chirp-Perturbed PDEs
  42. NeurIPS 2026Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems
  43. NeurIPS 2026Markov Metrical Task Systems
  44. NeurIPS 2026MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models
  45. NeurIPS 2026MC-H: Multi-Granularity Clustering with Hyperspherical Determinantal Point Process
  46. NeurIPS 2026MC$^2$Mark: Distortion-Free Multi-Bit Watermarking for Long Messages
  47. NeurIPS 2026MCAS: Signal-Processing-Based Multi-View Contrastive Learning for Acoustic Sensing
  48. NeurIPS 2026MCPHunt: An Evaluation Framework for Cross-Boundary Data Propagation in Multi-Server MCP Agents
  49. NeurIPS 2026Measuring AI Agents' Progress on Multi-Step Cyber Attack Scenarios
  50. NeurIPS 2026MemTailor: Hierarchical Memory-Augmented Multi-Expert Learning for Long-Tailed Recognition

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 查多任务排序在 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": "multi-task-ranking"}

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多任务排序论文？
共 1,440 篇，按年份分别是 2023 年 252 篇、2024 年 315 篇、2025 年 393 篇、2026 年 480 篇。
NeurIPS 2026 有多少篇多任务排序论文？
NeurIPS 2026 有 175 篇多任务排序论文，上一届是 144 篇。
ICLR 2026 有多少篇多任务排序论文？
ICLR 2026 有 79 篇多任务排序论文，上一届是 75 篇。
ICML 2026 有多少篇多任务排序论文？
ICML 2026 有 107 篇多任务排序论文，上一届是 80 篇。
CVPR 2026 有多少篇多任务排序论文？
CVPR 2026 有 119 篇多任务排序论文，上一届是 94 篇。
哪个会议的多任务排序论文最多？
NeurIPS，2023–2026 年共 485 篇。

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