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 18 of 19

851. ICML 2024Feedback Loops With Language Models Drive In-Context Reward Hacking
852. ICML 2024FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
853. ICML 2024From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
854. ICML 2024Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
855. ICML 2024GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
856. ICML 2024GPT-4V(ision) is a Generalist Web Agent, if Grounded
857. ICML 2024GPTSwarm: Language Agents as Optimizable Graphs
858. ICML 2024HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network
859. ICML 2024How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
860. ICML 2024Impact of Decentralized Learning on Player Utilities in Stackelberg Games
861. ICML 2024Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
862. ICML 2024Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
863. ICML 2024InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
864. ICML 2024LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
865. ICML 2024Language-guided Skill Learning with Temporal Variational Inference
866. ICML 2024Learning Associative Memories with Gradient Descent
867. ICML 2024Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
868. ICML 2024Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
869. ICML 2024Lookbehind-SAM: k steps back, 1 step forward
870. ICML 2024MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
871. ICML 2024Major-Minor Mean Field Multi-Agent Reinforcement Learning
872. ICML 2024Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
873. ICML 2024MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
874. ICML 2024Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy
875. ICML 2024Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
876. ICML 2024Multi-Sender Persuasion: A Computational Perspective
877. ICML 2024Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
878. ICML 2024Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
879. ICML 2024Nonlinear Filtering with Brenier Optimal Transport Maps
880. ICML 2024Offline Training of Language Model Agents with Functions as Learnable Weights
881. ICML 2024On the Identifiability of Switching Dynamical Systems
882. ICML 2024Online Learning in Betting Markets: Profit versus Prediction
883. ICML 2024Optimistic Multi-Agent Policy Gradient
884. ICML 2024PGODE: Towards High-quality System Dynamics Modeling
885. ICML 2024Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
886. ICML 2024Position: Enforced Amnesia as a Way to Mitigate the Potential Risk of Silent Suffering in the Conscious AI
887. ICML 2024Position: Foundation Agents as the Paradigm Shift for Decision Making
888. ICML 2024Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches
889. ICML 2024Position: Towards Unified Alignment Between Agents, Humans, and Environment
890. ICML 2024QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
891. ICML 2024R2E: Turning any Github Repository into a Programming Agent Environment
892. ICML 2024Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
893. ICML 2024Residual Quantization with Implicit Neural Codebooks
894. ICML 2024Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
895. ICML 2024Scalable Safe Policy Improvement for Factored Multi-Agent MDPs
896. ICML 2024SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code
897. ICML 2024Self-Rewarding Language Models
898. ICML 2024Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach
899. ICML 2024Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
900. ICML 2024Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration

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.