Dialogue Systems papers, 2023–2026

Key findings

• Dialogue Systems went from 49 papers in 2023 to 171 in 2026, roughly 3.5x in three years.
• NeurIPS publishes the most Dialogue Systems work: 189 papers from 2023 to 2026, 45% of the four-venue total.
• The fastest-growing overlap is with Multi-Agent RL: papers tagged with both rose from 0 in 2023 to 17 in 2026.
• Among the 5 topics under Natural Language, it ranks #4 by 2026 paper count; the fastest grower in the group, Retrieval-Augmented Generation, is up 5.4x versus 3.5x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Dialogue Systems papers

171 papers, page 3 of 4

101. NeurIPS 2026Attention-Based Soft Answer Sets
102. NeurIPS 2026Auditing Evidence Framing at NeurIPS: A Decade-Scale Study of Accepted Papers
103. NeurIPS 2026BELLS-O: Evaluating the Operational Trade-offs of LLM Supervision Systems
104. NeurIPS 2026Beyond DSA: Conjugacy-based Comparison of Dynamical Systems
105. NeurIPS 2026Beyond IPS: Reliable Counterfactual Evaluation in Multi-Stage Ad Systems without Logged Propensities
106. NeurIPS 2026C3H: Compression-to-Consensus Criteria Hijacking in Multimodal LLM Recommender Systems
107. NeurIPS 2026Causal Effects with Unobserved Unit Types in Interacting Human–AI Systems
108. NeurIPS 2026CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition
109. NeurIPS 2026DDBench: A Benchmark for Agentic Debugging on Distributed Systems
110. NeurIPS 2026DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems
111. NeurIPS 2026Discovering Phase Space Structure in Learned Hamiltonian Systems
112. NeurIPS 2026DistDebug-Bench: Can LLM Agents Diagnose Bugs in Distributed Systems?
113. NeurIPS 2026Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics
114. NeurIPS 2026Efficient evaluation and error pattern discovery for blackbox AI systems
115. NeurIPS 2026Embedding Security Properties into AI-Enabled Cyber-Physical Systems
116. NeurIPS 2026EmpathyChat: Structured Cognitive Reasoning in Empathetic Spoken Dialogue
117. NeurIPS 2026End-to-End Identifiable and Consistent Recurrent Switching Dynamical Systems
118. NeurIPS 2026Fingerprinting Inference Systems of Large Language Models
119. NeurIPS 2026Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems
120. NeurIPS 2026GT-Free OCR Metrics: A Reference-Free Evaluation Framework for Document OCR Systems
121. NeurIPS 2026Hidden Tails: Certifying Tail-Risk Claims under Selective Labels
122. NeurIPS 2026In-context learning to predict critical transitions in dynamical systems
123. NeurIPS 2026Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems
124. NeurIPS 2026Information bottleneck dynamics during learning across artificial and biological neural systems
125. NeurIPS 2026Inter-Agent Influence: Evaluating Persuasion, Deception and Coercion in Multi-Agent Systems
126. NeurIPS 2026Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
127. NeurIPS 2026Know Where You Stand: Memory-Source Choice in Long-Context Dialogue Agents
128. NeurIPS 2026Knowing When Multivariate Forecasts Are Wrong
129. NeurIPS 2026Learned Lagrangian Models of PDEs via Euler–Lagrange Residual Minimization
130. NeurIPS 2026Learning Digital Twins under Drift: Optimal Tracking Rates for Non-Stationary Dynamical Systems
131. NeurIPS 2026Learning Provable Neural Network Observer for Uncertain Dynamical Systems
132. NeurIPS 2026LLM-ACES: Closed-Loop Discovery of Dynamic Systems with LLM-Guided Adaptive Search
133. NeurIPS 2026LongMINT: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems
134. NeurIPS 2026Markov Metrical Task Systems
135. NeurIPS 2026Mental Health AI Must Move Beyond Diagnostic Prediction and Chat-Based Support: Toward Perspective-Aware, Multisensory Co-Experience
136. NeurIPS 2026Mental-Models for Multi-Agent Systems
137. NeurIPS 2026MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI
138. NeurIPS 2026Mult-DPO: Multinomial Direct Preference Optimization for Recommender Systems
139. NeurIPS 2026Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems
140. NeurIPS 2026Online Causal Configuration for Networked Systems via Doubly Robust Steady-State Learning
141. NeurIPS 2026Overcoming Attention Distraction: Training-Free Latent Communication for Multi-Agent Systems
142. NeurIPS 2026PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise
143. NeurIPS 2026PreCoMem: Predictive Cognitive Memory for Self-Evolving Long-Term Dialogue Agents
144. NeurIPS 2026PRIME: Poincaré return induced measure for learning partially observed dynamical systems
145. NeurIPS 2026ProbMedTOD: A Bayesian Network Guided Task-Oriented Dialogue System for Patient History Taking
146. NeurIPS 2026Prompt–Activation Duality: Improving Activation Steering via Attention-Level Interventions
147. NeurIPS 2026Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
148. NeurIPS 2026RAG in a Trenchcoat: When Minimal Memory Is Enough for Agentic Systems, and When It Isn’t
149. NeurIPS 2026Recursive Multi-Agent Systems
150. NeurIPS 2026Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic

FAQ

How many Dialogue Systems papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

419 in total: 49 in 2023, 92 in 2024, 107 in 2025, 171 in 2026.

How many Dialogue Systems papers are at NeurIPS 2026?

NeurIPS 2026 has 76 Dialogue Systems papers, versus 46 the year before.

How many Dialogue Systems papers are at ICLR 2026?

ICLR 2026 has 36 Dialogue Systems papers, versus 34 the year before.

How many Dialogue Systems papers are at ICML 2026?

ICML 2026 has 54 Dialogue Systems papers, versus 20 the year before.

How many Dialogue Systems papers are at CVPR 2026?

CVPR 2026 has 5 Dialogue Systems papers, versus 7 the year before.

Which conference publishes the most Dialogue Systems papers?

NeurIPS, with 189 papers from 2023 to 2026.