对话系统论文趋势 2023–2026

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。

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 92 篇，第 1 / 2 页

1. ICLR 2024Algorithms for Caching and MTS with reduced number of predictions
2. ICLR 2024Demystifying Embedding Spaces using Large Language Models
3. ICLR 2024Entropy Coding of Unordered Data Structures
4. ICLR 2024GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
5. ICLR 2024Learning invariant representations of time-homogeneous stochastic dynamical systems
6. ICLR 2024Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems
7. ICLR 2024Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems
8. ICLR 2024Neural Contractive Dynamical Systems
9. ICLR 2024ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
10. ICLR 2024Parsing neural dynamics with infinite recurrent switching linear dynamical systems
11. ICLR 2024Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
12. ICLR 2024RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
13. ICLR 2024Safe Collaborative Filtering
14. ICML 2024Amortized Equation Discovery in Hybrid Dynamical Systems
15. ICML 2024An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
16. ICML 2024Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
17. ICML 2024Consistent Long-Term Forecasting of Ergodic Dynamical Systems
18. ICML 2024Designing Decision Support Systems using Counterfactual Prediction Sets
19. ICML 2024Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
20. ICML 2024DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems
21. ICML 2024DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
22. ICML 2024Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
23. ICML 2024From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
24. ICML 2024Hyperbolic Optimizer as a Dynamical System
25. ICML 2024Infinite-Horizon Distributionally Robust Regret-Optimal Control
26. ICML 2024Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
27. ICML 2024Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
28. ICML 2024Mean-field Chaos Diffusion Models
29. ICML 2024Nesting Particle Filters for Experimental Design in Dynamical Systems
30. ICML 2024On the Identifiability of Switching Dynamical Systems
31. ICML 2024On the Independence Assumption in Neurosymbolic Learning
32. ICML 2024Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
33. ICML 2024Out-of-Domain Generalization in Dynamical Systems Reconstruction
34. ICML 2024PAPM: A Physics-aware Proxy Model for Process Systems
35. ICML 2024Position: A Roadmap to Pluralistic Alignment
36. ICML 2024Position: Explain to Question not to Justify
37. ICML 2024Position: Intent-aligned AI Systems Must Optimize for Agency Preservation
38. ICML 2024Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
39. ICML 2024Scaling Tractable Probabilistic Circuits: A Systems Perspective
40. ICML 2024Smooth Min-Max Monotonic Networks
41. NeurIPS 2024A Full-duplex Speech Dialogue Scheme Based On Large Language Model
42. NeurIPS 2024A scalable generative model for dynamical system reconstruction from neuroimaging data
43. NeurIPS 2024A Walsh Hadamard Derived Linear Vector Symbolic Architecture
44. NeurIPS 2024Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
45. NeurIPS 2024Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
46. NeurIPS 2024An Analysis of Elo Rating Systems via Markov Chains
47. NeurIPS 2024Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
48. NeurIPS 2024Automatically Learning Hybrid Digital Twins of Dynamical Systems
49. NeurIPS 2024Barely Random Algorithms and Collective Metrical Task Systems
50. NeurIPS 2024Bayesian Identification of the Hamiltonian Inductive Bias in Dynamical 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。