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

1,317 papers, page 23 of 27

1101. NeurIPS 2024Aligning Audio-Visual Joint Representations with an Agentic Workflow
1102. NeurIPS 2024Aligning Individual and Collective Objectives in Multi-Agent Cooperation
1103. NeurIPS 2024Aligning LLM Agents by Learning Latent Preference from User Edits
1104. NeurIPS 2024AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
1105. NeurIPS 2024APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
1106. NeurIPS 2024AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
1107. NeurIPS 2024AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
1108. NeurIPS 2024Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
1109. NeurIPS 2024Autonomous Agents for Collaborative Task under Information Asymmetry
1110. NeurIPS 2024AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
1111. NeurIPS 2024Bayesian Strategic Classification
1112. NeurIPS 2024BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
1113. NeurIPS 2024Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
1114. NeurIPS 2024BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
1115. NeurIPS 2024Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
1116. NeurIPS 2024Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
1117. NeurIPS 2024Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
1118. NeurIPS 2024Bridging semantics and pragmatics in information-theoretic emergent communication
1119. NeurIPS 2024Can Graph Learning Improve Planning in LLM-based Agents?
1120. NeurIPS 2024Can Large Language Model Agents Simulate Human Trust Behavior?
1121. NeurIPS 2024Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
1122. NeurIPS 2024CiteME: Can Language Models Accurately Cite Scientific Claims?
1123. NeurIPS 2024Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
1124. NeurIPS 2024CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics
1125. NeurIPS 2024Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
1126. NeurIPS 2024Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
1127. NeurIPS 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Models
1128. NeurIPS 2024Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
1129. NeurIPS 2024Differentially Private Reinforcement Learning with Self-Play
1130. NeurIPS 2024DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
1131. NeurIPS 2024DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
1132. NeurIPS 2024Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
1133. NeurIPS 2024Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners
1134. NeurIPS 2024Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
1135. NeurIPS 2024DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
1136. NeurIPS 2024Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
1137. NeurIPS 2024Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
1138. NeurIPS 2024Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
1139. NeurIPS 2024Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
1140. NeurIPS 2024Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
1141. NeurIPS 2024Feint Behaviors and Strategies: Formalization, Implementation and Evaluation
1142. NeurIPS 2024FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
1143. NeurIPS 2024Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
1144. NeurIPS 2024From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
1145. NeurIPS 2024Generating Origin-Destination Matrices in Neural Spatial Interaction Models
1146. NeurIPS 2024GTA: A Benchmark for General Tool Agents
1147. NeurIPS 2024HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
1148. NeurIPS 2024INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
1149. NeurIPS 2024Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems
1150. NeurIPS 2024Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning

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.