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← Core AI
Artificial Intelligence
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Agent Systems
3885 directly classified papers
Papers per year
2002: 1
2003: 1
2006: 12
2007: 5
2008: 11
2009: 8
2010: 17
2011: 14
2012: 21
2013: 17
2014: 17
2015: 16
2016: 32
2017: 102
2018: 123
2019: 198
2020: 210
2021: 269
2022: 291
2023: 415
2024: 663
2025: 1077
2026: 365
Papers
Interactive and Expressive Code-Augmented Planning with Large Language Models
ACL 2025
monoVLN: Bridging the Observation Gap between Monocular and Panoramic Vision and Language Navigation
ICCV 2025
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games
EMNLP 2025
TransLaTeX: Exposing the Last-Mile Execution Gap in LLM-Agent for Scientific Formatting
IJCNLP 2025
MistSense: Versatile Online Detection of Procedural and Execution Mistakes
ICCV 2025
NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments
ICCV 2025
DMIS Lab at ArchEHR-QA 2025: Evidence-Grounded Answer Generation for EHR-based QA via a Multi-Agent Framework
ACL 2025
Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control
ICCV 2025
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
ACL 2025
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
ICCV 2025
ResearStudio: A Human-intervenable Framework for Building Controllable Deep Research Agents
EMNLP 2025
Learning 3D Scene Analogies with Neural Contextual Scene Maps
ICCV 2025
CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration
ACL 2025
Learning on the Go: A Meta-learning Object Navigation Model
ICCV 2025
Personalized open world plan generation for safety-critical human centered autonomous systems: A case study on Artificial Pancreas
EMNLP 2025
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
JMLR 2025
Categorical Semantics of Compositional Reinforcement Learning
JMLR 2025
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
JMLR 2025
RTMap: Real-Time Recursive Mapping with Change Detection and Localization
ICCV 2025
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding
ICCV 2025
ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution
ACL 2025
CityNav: A Large-Scale Dataset for Real-World Aerial Navigation
ICCV 2025
Collaborative Document Simplification Using Multi-Agent Systems
COLING 2025
Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs
COLING 2025
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
NAACL 2025
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