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Agent Systems

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Papers

MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools ACL 2026 MCPTox: A Benchmark for Tool Poisoning on Real-World MCP Servers AAAI 2026 Media-to-Insights: A Multi-Agent AI System for Continuous Media Monitoring, Analysis, and Reporting ACL 2026 MedS³: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision AAAI 2026 Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents ACL 2026 Mem2Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation ACL 2026 MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents AAAI 2026 MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents AAAI 2026 Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract) AAAI 2026 MemRec: Collaborative Memory-Augmented Agentic Recommender System ACL 2026 MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning AAAI 2026 META: Meta Evolution of Tool Trajectory Adaptation for Long-Video Understanding CVPR 2026 MindPower: Enabling Theory-of-Mind Reasoning in VLM-based Embodied Agents CVPR 2026 Mind the Gap: The Divergence Between Human and LLM-Generated Tasks AAAI 2026 Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents AAAI 2026 MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents ACL 2026 Mitigating Context Interference for Reliable and Efficient Search Agents ACL 2026 Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference AAAI 2026 MMBench-GUI: A Unified Hierarchical Evaluation Framework for Multi-Platform GUI Agents CVPR 2026 MOA: Multi-Objective Alignment for Role-Playing Agents ACL 2026 MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation EACL 2026 Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training ACL 2026 MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control AAAI 2026 MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments ACL 2026 Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm AAAI 2026