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 1,440 篇，第 17 / 29 页

  1. NeurIPS 2025Learning Task-Agnostic Representations through Multi-Teacher Distillation
  2. NeurIPS 2025Learning to Learn with Contrastive Meta-Objective
  3. NeurIPS 2025Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
  4. NeurIPS 2025LIFEBENCH: Evaluating Length Instruction Following in Large Language Models
  5. NeurIPS 2025LLM-PySC2: Starcraft II learning environment for Large Language Models
  6. NeurIPS 2025MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
  7. NeurIPS 2025Meta-World+: An Improved, Standardized, RL Benchmark
  8. NeurIPS 2025MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
  9. NeurIPS 2025MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation
  10. NeurIPS 2025MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
  11. NeurIPS 2025Momentum Multi-Marginal Schrödinger Bridge Matching
  12. NeurIPS 2025MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
  13. NeurIPS 2025MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
  14. NeurIPS 2025MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
  15. NeurIPS 2025Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
  16. NeurIPS 2025Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
  17. NeurIPS 2025Multi-head Temporal Latent Attention
  18. NeurIPS 2025Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent
  19. NeurIPS 2025Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
  20. NeurIPS 2025Multi-Objective One-Shot Pruning for Large Language Models
  21. NeurIPS 2025Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
  22. NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
  23. NeurIPS 2025Multi-Token Prediction Needs Registers
  24. NeurIPS 2025MVSMamba: Multi-View Stereo with State Space Model
  25. NeurIPS 2025Neural Evolution Strategy for Black-box Pareto Set Learning
  26. NeurIPS 2025NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
  27. NeurIPS 2025Objective Soups: Multilingual Multi-Task Modeling for Speech Processing
  28. NeurIPS 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
  29. NeurIPS 2025On the sample complexity of semi-supervised multi-objective learning
  30. NeurIPS 2025One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning
  31. NeurIPS 2025OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization
  32. NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
  33. NeurIPS 2025Optimal Rates in Continual Linear Regression via Increasing Regularization
  34. NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
  35. NeurIPS 2025Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis
  36. NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
  37. NeurIPS 2025PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
  38. NeurIPS 2025PLD: A Choice-Theoretic List-Wise Knowledge Distillation
  39. NeurIPS 2025pLSTM: parallelizable Linear Source Transition Mark networks
  40. NeurIPS 2025Post Hoc Regression Refinement via Pairwise Rankings
  41. NeurIPS 2025Preference-Based Dynamic Ranking Structure Recognition
  42. NeurIPS 2025Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
  43. NeurIPS 2025Preference-Guided Diffusion for Multi-Objective Offline Optimization
  44. NeurIPS 2025PROFIT: A Specialized Optimizer for Deep Fine Tuning
  45. NeurIPS 2025Prompt Tuning Decision Transformers with Structured and Scalable Bandits
  46. NeurIPS 2025Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
  47. NeurIPS 2025Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
  48. NeurIPS 2025Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
  49. NeurIPS 2025RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
  50. NeurIPS 2025RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability

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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