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

329 papers, page 6 of 7

251. NeurIPS 2024Learning to Cooperate with Humans using Generative Agents
252. NeurIPS 2024Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
253. NeurIPS 2024Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
254. NeurIPS 2024LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
255. NeurIPS 2024Long-form factuality in large language models
256. NeurIPS 2024Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
257. NeurIPS 2024MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
258. NeurIPS 2024MADiff: Offline Multi-agent Learning with Diffusion Models
259. NeurIPS 2024MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
260. NeurIPS 2024Maximizing utility in multi-agent environments by anticipating the behavior of other learners
261. NeurIPS 2024MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
262. NeurIPS 2024Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration
263. NeurIPS 2024Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
264. NeurIPS 2024Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games
265. NeurIPS 2024Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration
266. NeurIPS 2024Multi-Agent Coordination via Multi-Level Communication
267. NeurIPS 2024Multi-Agent Domain Calibration with a Handful of Offline Data
268. NeurIPS 2024Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
269. NeurIPS 2024Multi-LLM Debate: Framework, Principals, and Interventions
270. NeurIPS 2024N-agent Ad Hoc Teamwork
271. NeurIPS 2024No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
272. NeurIPS 2024No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
273. NeurIPS 2024NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
274. NeurIPS 2024Observational Scaling Laws and the Predictability of Langauge Model Performance
275. NeurIPS 2024OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
276. NeurIPS 2024On the Effects of Data Scale on UI Control Agents
277. NeurIPS 2024Online Relational Inference for Evolving Multi-agent Interacting Systems
278. NeurIPS 2024Opponent Modeling based on Subgoal Inference
279. NeurIPS 2024Opponent Modeling with In-context Search
280. NeurIPS 2024Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks
281. NeurIPS 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
282. NeurIPS 2024Paths to Equilibrium in Games
283. NeurIPS 2024Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
284. NeurIPS 2024Predicting Future Actions of Reinforcement Learning Agents
285. NeurIPS 2024PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
286. NeurIPS 2024Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
287. NeurIPS 2024Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
288. NeurIPS 2024Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
289. NeurIPS 2024Recursive Introspection: Teaching Language Model Agents How to Self-Improve
290. NeurIPS 2024RedCode: Multi-dimensional Safety Benchmark for Code Agents
291. NeurIPS 2024RedCode: Risky Code Execution and Generation Benchmark for Code Agents
292. NeurIPS 2024Reflective Multi-Agent Collaboration based on Large Language Models
293. NeurIPS 2024Reinforcing LLM Agents via Policy Optimization with Action Decomposition
294. NeurIPS 2024RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
295. NeurIPS 2024RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
296. NeurIPS 2024Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
297. NeurIPS 2024RL-GPT: Integrating Reinforcement Learning and Code-as-policy
298. NeurIPS 2024RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts
299. NeurIPS 2024Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning
300. NeurIPS 2024Secret Collusion among AI Agents: Multi-Agent Deception via Steganography

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.