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

729 papers, page 7 of 15

301. NeurIPS 2026How Do Agentic LLMs Decide to Call Tools? A Scaffold Default Controlled by Suppression
302. NeurIPS 2026How Does Personalized Memory Shape LLM Behavior? Benchmarking Rational Preference Utilization in Personalized Assistants
303. NeurIPS 2026How Likely Are Voting Rules Equitable?
304. NeurIPS 2026How LLMs Distinguish Threats from Offers
305. NeurIPS 2026How to Interpret Agent Behavior
306. NeurIPS 2026How to Train a Surgeon? Benchmarking Generalist Agents in Surgical Scene Understanding
307. NeurIPS 2026How Useful Is Cross-Domain Generalization for Training LLM Monitors?
308. NeurIPS 2026HSCO-Bench: An Agent-Driven End-to-End Hardware-Software Co-design Benchmark for Systems-on-Chip
309. NeurIPS 2026Hyperagents
310. NeurIPS 2026I-PTC: Interactive Programmatic Tool Calling for Stateful Tool-Augmented Agents
311. NeurIPS 2026Improving LLM Final Representations with Inter-Layer Geometry
312. NeurIPS 2026Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
313. NeurIPS 2026Inadvertent Context Leakage in Language Models
314. NeurIPS 2026Incentivizing Agentic Retrieval for Disease-Centric Clinical Case Search via Trajectory Memory
315. NeurIPS 2026Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
316. NeurIPS 2026Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems
317. NeurIPS 2026Inferential Theory of Learning as a Framework for Test-Time Computation in Foundation Models
318. NeurIPS 2026Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors
319. NeurIPS 2026Integrating Strengths of Different Multi-Agent Workflows via Step-Aware Hybrid Topology Planning
320. NeurIPS 2026Inter-Agent Influence: Evaluating Persuasion, Deception and Coercion in Multi-Agent Systems
321. NeurIPS 2026InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search
322. NeurIPS 2026InvestigationWorlds: An Agentic Environment for Legal Investigation
323. NeurIPS 2026Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench
324. NeurIPS 2026Is Your LLM-as-a-Recommender Agent Trustable? LLMs' Recommendation is Easily Hacked by Biases (Preferences)
325. NeurIPS 2026It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs
326. NeurIPS 2026Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
327. NeurIPS 2026JARVIS-Bench: Benchmarking Personal Intelligence Agents on Long-Horizon Real-User Daily Traces
328. NeurIPS 2026Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE
329. NeurIPS 2026Joint Optimization of Tool Creation and Use for Large Language Model Agents
330. NeurIPS 2026Justitia: Fair and Efficient Scheduling of Task-parallel LLM Agents with Selective Pampering
331. NeurIPS 2026KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards
332. NeurIPS 2026Know Where You Stand: Memory-Source Choice in Long-Context Dialogue Agents
333. NeurIPS 2026Know Your Task, Learn It Right: Task-Aware Optimistic Value Learning for Multi-Task Multi-Agent Reinforcement Learning
334. NeurIPS 2026KnowEvo: Knowledge Evolution for Protein Optimization
335. NeurIPS 2026Knowing What is Missing: Efficient Conversational Memory via Explicit Evidence-Gap Tracking
336. NeurIPS 2026KV-PRM: Efficient Process Reward Modeling via KV-Cache Transfer for Multi-Agent Test-Time Scaling
337. NeurIPS 2026L$^2$EAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
338. NeurIPS 2026L2-Bench: An Evaluation Benchmark for Measuring LLM Capabilities in Second Language Education
339. NeurIPS 2026Language-Based Agent Control
340. NeurIPS 2026Large-Scale Pretraining unlocks Few-Shot Prediction for Relational Data
341. NeurIPS 2026Latent-Lens: Visual Perception in Small Language Models Through Latent Communication
342. NeurIPS 2026Learn Locally, Recurse Globally: Neural Circuit Synthesis Beyond Training Depth
343. NeurIPS 2026Learning Agentic World Vision-Language-Action Models for Autonomous Driving
344. NeurIPS 2026Learning CLI Agents with Structured Action Credit under Selective Observation
345. NeurIPS 2026Learning Digital Twins under Drift: Optimal Tracking Rates for Non-Stationary Dynamical Systems
346. NeurIPS 2026Learning in Causal Markov Games
347. NeurIPS 2026Learning Large-Scale Competitive Team Behaviors with Mean-Field Interactions
348. NeurIPS 2026Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry
349. NeurIPS 2026Learning to Commit: Next-Commit Prediction via Online Supervised Contrastive Reflection
350. NeurIPS 2026Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs

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.