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

362 papers, page 2 of 8

51. NeurIPS 2025Can Dependencies Induced by LLM-Agent Workflows Be Trusted?
52. NeurIPS 2025Cascaded Language Models for Cost-Effective Human–AI Decision-Making
53. NeurIPS 2025Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
54. NeurIPS 2025CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
55. NeurIPS 2025Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors
56. NeurIPS 2025ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction
57. NeurIPS 2025CLEVER: A Curated Benchmark for Formally Verified Code Generation
58. NeurIPS 2025ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
59. NeurIPS 2025Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models
60. NeurIPS 2025CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
61. NeurIPS 2025Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
62. NeurIPS 2025COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
63. NeurIPS 2025Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
64. NeurIPS 2025Combining Cost Constrained Runtime Monitors for AI Safety
65. NeurIPS 2025Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning
66. NeurIPS 2025Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
67. NeurIPS 2025Conformal Information Pursuit for Interactively Guiding Large Language Models
68. NeurIPS 2025Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
69. NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
70. NeurIPS 2025Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs
71. NeurIPS 2025ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions
72. NeurIPS 2025Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
73. NeurIPS 2025CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
74. NeurIPS 2025CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
75. NeurIPS 2025CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
76. NeurIPS 2025CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation
77. NeurIPS 2025Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
78. NeurIPS 2025CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
79. NeurIPS 2025Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
80. NeurIPS 2025DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding
81. NeurIPS 2025Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality
82. NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
83. NeurIPS 2025Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding
84. NeurIPS 2025DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning
85. NeurIPS 2025Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
86. NeurIPS 2025DISC: Dynamic Decomposition Improves LLM Inference Scaling
87. NeurIPS 2025Distilling LLM Agent into Small Models with Retrieval and Code Tools
88. NeurIPS 2025Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation
89. NeurIPS 2025Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
90. NeurIPS 2025Do Language Models Use Their Depth Efficiently?
91. NeurIPS 2025Don't be lazy: CompleteP enables compute-efficient deep transformers
92. NeurIPS 2025DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
93. NeurIPS 2025DyFlow: Dynamic Workflow Framework for Agentic Reasoning
94. NeurIPS 2025Dynamic Risk Assessments for Offensive Cybersecurity Agents
95. NeurIPS 2025EconGym: A Scalable AI Testbed with Diverse Economic Tasks
96. NeurIPS 2025Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
97. NeurIPS 2025Eliciting Reasoning in Language Models with Cognitive Tools
98. NeurIPS 2025Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence
99. NeurIPS 2025Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
100. NeurIPS 2025Emergent Risk Awareness in Rational Agents under Resource Constraints

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.