AI Agents papers, 2023–2026

Key findings

• AI Agents went from 170 papers in 2023 to 1,983 in 2026, roughly 12x in three years.
• NeurIPS publishes the most AI Agents work: 1,317 papers from 2023 to 2026, 40% of the four-venue total.
• The fastest-growing overlap is with LLM Benchmarks: papers tagged with both rose from 1 in 2023 to 116 in 2026.
• Among the 4 topics under Trending Systems, it ranks #2 by 2026 paper count; the fastest grower in the group, World Models, is up 11x versus 12x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
• ICML 2026$\tau$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
• ICLR 2026A Benchmark for Deep Information Synthesis
• CVPR 20263D-VCD Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive
• NeurIPS 20254KAgent: Agentic Any Image to 4K Super-Resolution
• ICML 2025A Unified Approach to Routing and Cascading for LLMs
• ICLR 2025A Generalist Hanabi Agent
• CVPR 2025Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration
• NeurIPS 2024AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
• ICML 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
• ICLR 2024A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
• CVPR 2024Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction
• NeurIPS 2023AdaPlanner: Adaptive Planning from Feedback with Language Models
• ICML 2023A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
• ICLR 2023Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
• CVPR 2023Behavioral Analysis of Vision-and-Language Navigation Agents
• NeurIPS 20262-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support
• ICML 2026$\tau$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains
• ICLR 2026A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
• CVPR 2026A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning

All AI Agents papers

640 papers, page 4 of 13

151. ICML 2026Cycle-of-Science: Reliable Reasoning through Counterfactual Verification for Agent Decision Making
152. ICML 2026D-FUSEr: Diverse Failure, Unified Success via Error-Distribution Shaping in LLM Reasoning
153. ICML 2026d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
154. ICML 2026Darwinian Memory: A Training-Free Self-Regulating Memory System for GUI Agent Evolution
155. ICML 2026Data Difficulty and the Generalization–Extrapolation Tradeoff in LLM Fine-Tuning
156. ICML 2026daVinci-Dev: Agent-native Mid-training for Software Engineering
157. ICML 2026De-Linearizing Agent Traces: Bayesian Inference of Latent Partial Orders for Efficient Execution
158. ICML 2026Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models
159. ICML 2026Debate2Create: Robot Co-design via Multi-Agent LLM Debate
160. ICML 2026Decentralized and Disentangled Task–Role Representation Learning for Generalizable Offline Multi-Agent Meta Reinforcement Learning
161. ICML 2026DECOR: Learning to Decompose and Collaborate in Deep Search via Multi-Agent Reinforcement Learning
162. ICML 2026Deep Incentive Design with Differentiable Equilibrium Blocks
163. ICML 2026Deep Reinforcement Learning Finds Bayes-Nash Equilibrium in Competitive Newsvendor Problems
164. ICML 2026DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
165. ICML 2026DeepHA: Scaling Action Chains Elicits Deep Hierarchical Agents
166. ICML 2026DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories
167. ICML 2026DEER: A Benchmark for Evaluating Deep Research Agents on Expert Report Generation
168. ICML 2026Deliberate Evolution: Agentic Reasoning for Sample-Efficient Symbolic Regression with LLMs
169. ICML 2026DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution
170. ICML 2026Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning
171. ICML 2026Detecting Perspective Shifts in Multi-Agent Systems
172. ICML 2026Deterministic Component Mining for Multi-Framework UI2Code Generation
173. ICML 2026Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch
174. ICML 2026Differentiable Conformal Training for LLM Reasoning Factuality
175. ICML 2026Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies
176. ICML 2026Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation
177. ICML 2026Distributionally Robust Markov Games with Average Reward
178. ICML 2026DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use
179. ICML 2026Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents
180. ICML 2026DLM: Unified Decision Language Model for Offline Multi-Agent Sequential Decision Making
181. ICML 2026DOCKSMITH: Scaling Reliable Coding Environments via an Agentic Docker Builder
182. ICML 2026DocOS: Towards Proactive Document-Guided Actions in GUI Agents
183. ICML 2026Does Reinforcement Fine-Tuning Improve Generalization of LLM Agents? An Empirical Study
184. ICML 2026Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
185. ICML 2026DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
186. ICML 2026Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations
187. ICML 2026DRIFT-BENCH: Diagnosing CoopeRative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction
188. ICML 2026DRPBench: Evaluating LLMs in Concurrent Code Comprehension via Fine-Grained Data Race Prediction
189. ICML 2026Dual Latent Memory for Visual Multi-agent System
190. ICML 2026DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing
191. ICML 2026DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
192. ICML 2026Dynamic Optimizations of LLM Ensembles with Two-Stage Reinforcement Learning Agents
193. ICML 2026DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents
194. ICML 2026E-mem: Multi-Agent Based Episodic Context Reconstruction for LLM Agent Memory
195. ICML 2026E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs
196. ICML 2026EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance
197. ICML 2026Editable Proof Sketch for Automated Theorem Proving
198. ICML 2026EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation
199. ICML 2026EffGen: Enabling Small Language Models as Capable Autonomous Agents
200. ICML 2026Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate

FAQ

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

3,266 in total: 170 in 2023, 329 in 2024, 784 in 2025, 1,983 in 2026.

How many AI Agents papers are at NeurIPS 2026?

NeurIPS 2026 has 729 AI Agents papers, versus 362 the year before.

How many AI Agents papers are at ICLR 2026?

ICLR 2026 has 500 AI Agents papers, versus 204 the year before.

How many AI Agents papers are at ICML 2026?

ICML 2026 has 640 AI Agents papers, versus 178 the year before.

How many AI Agents papers are at CVPR 2026?

CVPR 2026 has 114 AI Agents papers, versus 40 the year before.

Which conference publishes the most AI Agents papers?

NeurIPS, with 1,317 papers from 2023 to 2026.