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

947 papers, page 6 of 19

251. ICML 2026FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation
252. ICML 2026Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents
253. ICML 2026GameDevBench: Evaluating Agentic Capabilities Through Game Development
254. ICML 2026Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls
255. ICML 2026GLARE: Scalable Neuro-Symbolic Reward Shaping for LLM Agents via Group-Level Automata
256. ICML 2026GLEAN: Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
257. ICML 2026Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
258. ICML 2026Graph of States: Solving Abductive Tasks with Large Language Models
259. ICML 2026Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
260. ICML 2026GraphFlow: A Graph-Based Workflow Management for Efficient LLM-Agent Serving
261. ICML 2026GRASP: Graph Reasoning via Agentic Solving and Probing of LLMs
262. ICML 2026Great Minds Think Alike: Contextual Tacit Communication for Decentralized LLM-Agent Cooperation
263. ICML 2026Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs
264. ICML 2026Grounding LLMs in Scientific Discovery via Embodied Actions
265. ICML 2026Group Cognition Learning: Making Everything Better Through Controlled Two-Stage Agents Collaboration
266. ICML 2026Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
267. ICML 2026HEARTS: Benchmarking LLM Reasoning on Health Time Series
268. ICML 2026Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents
269. ICML 2026HeraSys: Collaborative Serving of Multiple LLM Workflows via Fine-Grained End-to-End Optimization
270. ICML 2026Hermes: An Evidence-Driven Agentic Framework for Trustworthy and Explainable AI-Generated Video Detection
271. ICML 2026HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs
272. ICML 2026HexGen-3: A Fully Disaggregated LLM Serving Framework with Fine-Grained Heterogeneous Resource Autoscaling
273. ICML 2026HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems
274. ICML 2026Hierarchical Procedural Meta-Reasoning for Generalizable Multimodal Agents
275. ICML 2026HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel
276. ICML 2026HiPER: Hierarchical Plan–Execute RL for Multi-Turn LLM Agents
277. ICML 2026How can we assess human-agent interactions? Case studies in software agent design
278. ICML 2026How does information access affect LLM monitors' ability to detect sabotage?
279. ICML 2026How Far Can LLM Agents Reason with Tables? Benchmarking Multi-Turn Agentic Table Question Answering in the Wild
280. ICML 2026HPS: Hyperspherical Parameter Sharing for Efficient Multi-Agent Reinforcement Learning
281. ICML 2026Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models
282. ICML 2026HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis
283. ICML 2026Hybrid-Gym: Training Coding Agents to Generalize Across Tasks
284. ICML 2026HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation
285. ICML 2026IEC: When Information-Driven Exploration Meets Spectral Consensus via Primal–Dual Reward Regularization in Decentralized Multi-Agent RL
286. ICML 2026Imitation Learning for Multi-turn LM Agents via On-policy Expert Corrections
287. ICML 2026Implicit Intelligence - Evaluating Agents on What Users Don’t Say
288. ICML 2026Inference-time Alignment with Rewards in Besov Spaces: Provable Advantages of Feature Learning and Multi-Step Policy Updates
289. ICML 2026InfoPO: Information-Driven Policy Optimization for User-Centric Agents
290. ICML 2026InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
291. ICML 2026IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning
292. ICML 2026InteractComp: Evaluating Search Agents With Ambiguous Queries
293. ICML 2026Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
294. ICML 2026Investigating Component Contributions in Multi-Agent ML Systems
295. ICML 2026Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
296. ICML 2026It's a TRAP! Task-Redirecting Agent Persuasion Benchmark for Web Agents
297. ICML 2026JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG
298. ICML 2026JADE: Expert-Grounded Dynamic Evaluation for Open-Ended Professional Tasks
299. ICML 2026Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking
300. ICML 2026Judgment Operators: A Composition-Invariant Substrate for Multi-Agent Action Spaces

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.