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 6 of 27

251. NeurIPS 2026ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory
252. NeurIPS 2026Forgetting is Not Always Bad: A Neuro-Inspired Memory Repair Mechanism for Poisoned LLM Agents
253. NeurIPS 2026From Chats to Markets: AgenticPay for LLM-Powered Negotiation in Multi-Agent Commerce
254. NeurIPS 2026From Expert Knowledge to Optimization Modeling: Prototype-Based Data Synthesis and Logical Reinforcement Learning
255. NeurIPS 2026From History to State: Constant-Context Skill Learning for LLM Agents
256. NeurIPS 2026From Local Skills to Long-Horizon Tasks: Progressive Skill Exploration for LLM Web Agents
257. NeurIPS 2026From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents
258. NeurIPS 2026From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
259. NeurIPS 2026From Representation to Intervention: Using Emotion Vectors to Monitor and Guide Language Models
260. NeurIPS 2026From Talking Words to Sharing Thoughts: Scalable Multi-LLM Aggregation via Structured Message Passing
261. NeurIPS 2026From Uncertain Judgments to Calibrated Rankings: Conformal Elo Estimation for LLM Evaluation
262. NeurIPS 2026From Walls to Synergy: A Joint LLM-Evolution Framework for MILP Solvers
263. NeurIPS 2026From Weeks to Hours: Fast and Principled SFT Curation for LLM
264. NeurIPS 2026Frontier Coding Agents Use Metaprogramming to Adapt to Unfamiliar Programming Languages
265. NeurIPS 2026Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering with Generative Optimization
266. NeurIPS 2026FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale
267. NeurIPS 2026FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views
268. NeurIPS 2026fxBench: Evaluating and Understanding Formula Suggestions in Spreadsheets
269. NeurIPS 2026GCD: Correcting Hidden-State Bias in Off-Policy Agentic RL
270. NeurIPS 2026Gen-Searcher: Reinforcing Agentic Search for Image Generation
271. NeurIPS 2026GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
272. NeurIPS 2026Generalized Intention Modeling in Multi-Agent Reinforcement Learning
273. NeurIPS 2026Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
274. NeurIPS 2026Generation Navigator: A State-Aware Agentic Framework for Image Generation
275. NeurIPS 2026Generative Scenario Rollouts for End-to-End Autonomous Driving
276. NeurIPS 2026GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation
277. NeurIPS 2026Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice
278. NeurIPS 2026Git Context Controller: Manage the Context of Agents by Agentic Git
279. NeurIPS 2026GNES: Neural-Guided Evolutionary Program Search for Interpretable Multi-Agent Control
280. NeurIPS 2026Gradient Boosted Trees for Retrieval-Augmented Generation
281. NeurIPS 2026GraphMemRL: Action-Native Reinforcement Learning for Persistent Graph Memory Construction
282. NeurIPS 2026Grounding Agent Reasoning with Structured Process Supervision for Multi-turn Reinforcement Learning
283. NeurIPS 2026Group Perspective Matters: Regulating Debate Relationships Can Mitigate Blind Conformity in Multi-Agent Debate
284. NeurIPS 2026Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning
285. NeurIPS 2026GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations
286. NeurIPS 2026GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
287. NeurIPS 2026Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
288. NeurIPS 2026HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
289. NeurIPS 2026Harbor Adapters and Harbor-Mix: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation
290. NeurIPS 2026Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents
291. NeurIPS 2026HARP: Training-Free Dual-Profile Agentic Communication for LLM-Based Recommendation
292. NeurIPS 2026HeMeR: Heterogeneous Memory Reconciliation for Embodied Agents via Structured KV Reuse
293. NeurIPS 2026HetCCL: Efficient LLM Training on Heterogeneous Vendor GPUs
294. NeurIPS 2026Heterogeneous Agent Collaborative Reinforcement Learning
295. NeurIPS 2026Heuresis: Evaluating Search Strategies for Autonomous Machine Learning Research Agents
296. NeurIPS 2026Hidden Measurement Error in LLM Pipelines Distorts Annotation, Evaluation, and Benchmarking
297. NeurIPS 2026Hide to Guide: Learning via Semantic Masking
298. NeurIPS 2026HierFlow: Hierarchical Coupled Dual-Space Search for Automatic Agentic Workflow Generation
299. NeurIPS 2026HierRR: Enhancing Instruction Alignment in Open-Vocabulary Indoor Scene Synthesis via Agentic Hierarchical Reasoning and Reflection
300. NeurIPS 2026HireWatch: Evaluating LLM Compliance with U.S. Employment Law Under Contextual Pressure

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.