{"total":71,"rows":[{"id":"2312.13771","title":"AppAgent: Multimodal Agents as Smartphone Users","created":"2023-12-21","cited_by_count":415,"area":"agents"},{"id":"2402.18679","title":"Data Interpreter: An LLM Agent For Data Science","created":"2024-02-28","cited_by_count":225,"area":"agents"},{"id":"2602.20867","title":"SoK: Agentic Skills -- Beyond Tool Use in LLM Agents","created":"2026-02-24","cited_by_count":130,"area":"agents"},{"id":"2404.02039","title":"A Survey on Large Language Model-Based Game Agents","created":"2024-04-02","cited_by_count":112,"area":"agents"},{"id":"2508.09736","title":"Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory","created":"2025-08-13","cited_by_count":97,"area":"agents"},{"id":"2408.03615","title":"Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks","created":"2024-08-07","cited_by_count":84,"area":"agents"},{"id":"2501.07278","title":"Lifelong Learning of Large Language Model based Agents: A Roadmap","created":"2025-01-13","cited_by_count":83,"area":"agents"},{"id":"2401.05268","title":"AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning","created":"2024-01-10","cited_by_count":81,"area":"agents"},{"id":"2407.13032","title":"Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems","created":"2024-07-17","cited_by_count":81,"area":"agents"},{"id":"2603.07670","title":"Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers","created":"2026-03-08","cited_by_count":65,"area":"agents"},{"id":"2508.09124","title":"OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows","created":"2025-08-12","cited_by_count":57,"area":"agents"},{"id":"2407.07086","title":"Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models","created":"2024-07-09","cited_by_count":48,"area":"agents"},{"id":"2403.12014","title":"EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents","created":"2024-03-18","cited_by_count":46,"area":"agents"},{"id":"2409.14908","title":"KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systems","created":"2024-09-23","cited_by_count":39,"area":"agents"},{"id":"2407.06813","title":"Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy","created":"2024-07-09","cited_by_count":36,"area":"agents"},{"id":"2512.04797","title":"SIMA 2: A Generalist Embodied Agent for Virtual Worlds","created":"2025-12-04","cited_by_count":31,"area":"agents"},{"id":"2407.15325","title":"Odyssey: Empowering Minecraft Agents with Open-World Skills","created":"2024-07-22","cited_by_count":26,"area":"agents"},{"id":"2502.19902","title":"Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy","created":"2025-02-27","cited_by_count":25,"area":"agents"},{"id":"2602.05665","title":"Graph-based Agent Memory: Taxonomy, Techniques, and Applications","created":"2026-02-05","cited_by_count":25,"area":"agents"},{"id":"2510.23691","title":"Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents","created":"2025-10-27","cited_by_count":24,"area":"agents"},{"id":"2402.04578","title":"S-Agents: Self-organizing Agents in Open-ended Environments","created":"2024-02-07","cited_by_count":22,"area":"agents"},{"id":"2403.17674","title":"Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity games","created":"2024-03-26","cited_by_count":20,"area":"agents"},{"id":"2411.03865","title":"AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making","created":"2024-11-06","cited_by_count":20,"area":"agents"},{"id":"2401.17749","title":"SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language models","created":"2024-01-31","cited_by_count":19,"area":"agents"},{"id":"2404.04619","title":"Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model","created":"2024-04-06","cited_by_count":19,"area":"agents"},{"id":"2403.19267","title":"MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs","created":"2024-03-28","cited_by_count":18,"area":"agents"},{"id":"2605.07358","title":"A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications","created":"2026-05-08","cited_by_count":18,"area":"agents"},{"id":"2403.00690","title":"Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents","created":"2024-03-01","cited_by_count":17,"area":"agents"},{"id":"2412.21033","title":"Plancraft: an evaluation dataset for planning with LLM agents","created":"2024-12-30","cited_by_count":16,"area":"agents"},{"id":"2606.03056","title":"SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale","created":"2026-06-02","cited_by_count":16,"area":"agents"},{"id":"2401.04620","title":"Agent Alignment in Evolving Social Norms","created":"2024-01-09","cited_by_count":15,"area":"agents"},{"id":"2403.03017","title":"OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following","created":"2024-03-05","cited_by_count":14,"area":"agents"},{"id":"2501.12485","title":"R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory","created":"2025-01-21","cited_by_count":14,"area":"agents"},{"id":"2410.22194","title":"ADAM: An Embodied Causal Agent in Open-World Environments","created":"2024-10-29","cited_by_count":13,"area":"agents"},{"id":"2508.18722","title":"VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft","created":"2025-08-26","cited_by_count":13,"area":"agents"},{"id":"2402.00262","title":"Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective","created":"2024-02-01","cited_by_count":11,"area":"agents"},{"id":"2410.03450","title":"MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents","created":"2024-10-04","cited_by_count":11,"area":"agents"},{"id":"2605.18652","title":"MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents","created":"2026-05-18","cited_by_count":11,"area":"agents"},{"id":"2509.13347","title":"OpenHA: A Series of Open-Source Hierarchical Agentic Models in Minecraft","created":"2025-09-13","cited_by_count":10,"area":"agents"},{"id":"2411.06736","title":"MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory","created":"2024-11-11","cited_by_count":9,"area":"agents"},{"id":"2404.19065","title":"HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models","created":"2024-04-29","cited_by_count":8,"area":"agents"},{"id":"2508.18797","title":"CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks","created":"2025-08-26","cited_by_count":8,"area":"agents"},{"id":"2412.13549","title":"EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents","created":"2024-12-18","cited_by_count":6,"area":"agents"},{"id":"2405.15414","title":"Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification","created":"2024-05-24","cited_by_count":5,"area":"agents"},{"id":"2410.12481","title":"SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling","created":"2024-10-16","cited_by_count":5,"area":"agents"},{"id":"2504.04485","title":"Building LLM Agents by Incorporating Insights from Computer Systems","created":"2025-04-06","cited_by_count":5,"area":"agents"},{"id":"2509.22170","title":"Leveraging LLM Agents for Automated Video Game Testing","created":"2025-09-26","cited_by_count":5,"area":"agents"},{"id":"2405.08037","title":"Layout Generation Agents with Large Language Models","created":"2024-05-13","cited_by_count":4,"area":"agents"},{"id":"2410.19920","title":"Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting","created":"2024-10-25","cited_by_count":4,"area":"agents"},{"id":"2603.24157","title":"CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare","created":"2026-03-25","cited_by_count":4,"area":"agents"},{"id":"2605.30931","title":"MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft","created":"2026-05-29","cited_by_count":4,"area":"agents"},{"id":"2505.20148","title":"MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents","created":"2025-05-26","cited_by_count":3,"area":"agents"},{"id":"2604.18975","title":"Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game","created":"2026-04-21","cited_by_count":3,"area":"agents"},{"id":"2411.01271","title":"Interacting Large Language Model Agents. Interpretable Models and Social Learning","created":"2024-11-02","cited_by_count":2,"area":"agents"},{"id":"2603.02772","title":"Agentic Self-Evolutionary Replanning for Embodied Navigation","created":"2026-03-03","cited_by_count":2,"area":"agents"},{"id":"2605.27762","title":"PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft","created":"2026-05-26","cited_by_count":2,"area":"agents"},{"id":"2607.29218","title":"MirrorCraft: Paired Evaluation under Hidden Rule Changes in Minecraft","created":"2026-07-31","cited_by_count":2,"area":"agents"},{"id":"2403.14562","title":"Agentic AI: The Era of Semantic Decoding","created":"2024-03-21","cited_by_count":1,"area":"agents"},{"id":"2410.08632","title":"Words as Beacons: Guiding RL Agents with High-Level Language Prompts","created":"2024-10-11","cited_by_count":1,"area":"agents"},{"id":"2411.17255","title":"APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World Agents","created":"2024-11-26","cited_by_count":1,"area":"agents"},{"id":"2507.06016","title":"Conditional Multi-Stage Failure Recovery for Embodied Agents","created":"2025-07-08","cited_by_count":1,"area":"agents"},{"id":"2508.13530","title":"CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter","created":"2025-08-19","cited_by_count":1,"area":"agents"},{"id":"2510.02369","title":"AutoContext: Instance-Level Context Learning for LLM Agents","created":"2025-09-29","cited_by_count":1,"area":"agents"},{"id":"2605.31075","title":"Task-Focused Memorization for Multimodal Agents","created":"2026-05-29","cited_by_count":1,"area":"agents"},{"id":"2609.03753","title":"SimSkill: A Self-Evolving LLM Agent for Skill and Knowledge Accumulation in Traffic Simulation","created":"2026-09-03","cited_by_count":1,"area":"agents"},{"id":"2412.00949","title":"STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft","created":"2024-12-01","cited_by_count":0,"area":"agents"},{"id":"2412.03359","title":"WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis","created":"2024-12-04","cited_by_count":0,"area":"agents"},{"id":"2512.09706","title":"Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning","created":"2025-12-10","cited_by_count":0,"area":"agents"},{"id":"2607.04974","title":"A Comprehensive Study of Implementation Bugs in Multi-modal Agents","created":"2026-07-06","cited_by_count":0,"area":"agents"},{"id":"2609.35463","title":"A.D.A.M.O. (Agent for language-Driven Actions with Multimodal Observations): A Visual-Symbolic Framework for Virtual Humans","created":"2026-09-28","cited_by_count":0,"area":"agents"},{"id":"2609.38881","title":"STRATA: Self-Learning Through Role-Aligned Tiered Agents for Real-Time Strategy Games","created":"2026-09-30","cited_by_count":0,"area":"agents"}],"next_cursor":null}