对话系统论文趋势 2023–2026
对话与聊天模型
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 419 篇被归入该主题的论文。
主要结论
- 对话系统论文从 2023 年的 49 篇增长到 2026 年的 171 篇，三年间扩大到约 3.5 倍。
- NeurIPS 是发对话系统论文最多的会议，2023–2026 年共 189 篇，占四个会议总量的 45%。
- 交叉方向里涨得最快的是多智能体 RL：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 17 篇。
- 在「自然语言」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的检索增强生成是 5.4 倍，对话系统是 3.5 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 15 | 17 | 15 | 2 | 49 |
| 2024 | 52 | 13 | 27 | 0 | 92 |
| 2025 | 46 | 34 | 20 | 7 | 107 |
| 2026 | 76 | 36 | 54 | 5 | 171 |
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 Quantitative Visual Taxonomy of Worldwide Writing Systems
- ICML 2026An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
- ICLR 2026A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
- CVPR 2026Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systems
- NeurIPS 2025FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
- ICML 2025Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
- ICLR 2025ContextGNN: Beyond Two-Tower Recommendation Systems
- CVPR 2025Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses
- NeurIPS 2024Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data
- ICML 2024Amortized Equation Discovery in Hybrid Dynamical Systems
- ICLR 2024Safe Collaborative Filtering
- NeurIPS 2023Moral Responsibility for AI Systems
- ICML 2023Graph Switching Dynamical Systems
- ICLR 2023An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
- CVPR 2023expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization
- NeurIPS 2026Adaptive auditing of AI systems with anytime-valid guarantees
- ICML 2026Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control
- ICLR 2026ClarifyVC: Clarifying Ambiguous Commands in Vehicle Control with a Hybrid Data Augmentation Pipeline
- CVPR 2026Task-Driven Implicit Representations for Automated Design of LiDAR Systems
- NeurIPS 2025In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation
全部对话系统论文
共 419 篇，第 7 / 9 页
- ICML 2024From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
- ICML 2024Hyperbolic Optimizer as a Dynamical System
- ICML 2024Infinite-Horizon Distributionally Robust Regret-Optimal Control
- ICML 2024Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
- ICML 2024Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
- ICML 2024Mean-field Chaos Diffusion Models
- ICML 2024Nesting Particle Filters for Experimental Design in Dynamical Systems
- ICML 2024On the Identifiability of Switching Dynamical Systems
- ICML 2024On the Independence Assumption in Neurosymbolic Learning
- ICML 2024Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
- ICML 2024Out-of-Domain Generalization in Dynamical Systems Reconstruction
- ICML 2024PAPM: A Physics-aware Proxy Model for Process Systems
- ICML 2024Position: A Roadmap to Pluralistic Alignment
- ICML 2024Position: Explain to Question not to Justify
- ICML 2024Position: Intent-aligned AI Systems Must Optimize for Agency Preservation
- ICML 2024Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
- ICML 2024Scaling Tractable Probabilistic Circuits: A Systems Perspective
- ICML 2024Smooth Min-Max Monotonic Networks
- NeurIPS 2024A Full-duplex Speech Dialogue Scheme Based On Large Language Model
- NeurIPS 2024A scalable generative model for dynamical system reconstruction from neuroimaging data
- NeurIPS 2024A Walsh Hadamard Derived Linear Vector Symbolic Architecture
- NeurIPS 2024Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
- NeurIPS 2024Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
- NeurIPS 2024An Analysis of Elo Rating Systems via Markov Chains
- NeurIPS 2024Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
- NeurIPS 2024Automatically Learning Hybrid Digital Twins of Dynamical Systems
- NeurIPS 2024Barely Random Algorithms and Collective Metrical Task Systems
- NeurIPS 2024Bayesian Identification of the Hamiltonian Inductive Bias in Dynamical Systems
- NeurIPS 2024Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data
- NeurIPS 2024Comprehensive Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for the Polish Language
- NeurIPS 2024Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
- NeurIPS 2024ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
- NeurIPS 2024Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models
- NeurIPS 2024Disentangled Representation Learning in Non-Markovian Causal Systems
- NeurIPS 2024Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
- NeurIPS 2024Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
- NeurIPS 2024eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling
- NeurIPS 2024FairJob: A Real-World Dataset for Fairness in Online Systems
- NeurIPS 2024Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
- NeurIPS 2024Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems
- NeurIPS 2024HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems
- NeurIPS 2024How Does Message Passing Improve Collaborative Filtering?
- NeurIPS 2024Identifiability Analysis of Linear ODE Systems with Hidden Confounders
- NeurIPS 2024Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees
- NeurIPS 2024Identifying Equivalent Training Dynamics
- NeurIPS 2024Initializing Services in Interactive ML Systems for Diverse Users
- NeurIPS 2024Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
- NeurIPS 2024Marrying Causal Representation Learning with Dynamical Systems for Science
- NeurIPS 2024NN4SysBench: Characterizing Neural Network Verification for Computer Systems
- NeurIPS 2024No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
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 查对话系统在 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": "dialogue-systems"}
常见问题
- 2023–2026 年四大会议一共有多少篇对话系统论文？
- 共 419 篇，按年份分别是 2023 年 49 篇、2024 年 92 篇、2025 年 107 篇、2026 年 171 篇。
- NeurIPS 2026 有多少篇对话系统论文？
- NeurIPS 2026 有 76 篇对话系统论文，上一届是 46 篇。
- ICLR 2026 有多少篇对话系统论文？
- ICLR 2026 有 36 篇对话系统论文，上一届是 34 篇。
- ICML 2026 有多少篇对话系统论文？
- ICML 2026 有 54 篇对话系统论文，上一届是 20 篇。
- CVPR 2026 有多少篇对话系统论文？
- CVPR 2026 有 5 篇对话系统论文，上一届是 7 篇。
- 哪个会议的对话系统论文最多？
- NeurIPS，2023–2026 年共 189 篇。