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Agent Systems

3885 directly classified papers

Papers per year

Papers

SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World AAAI 2026

EEG Agent: A Unified Framework for Automated EEG Analysis Using Large Language Models AAAI 2026

ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks AAAI 2026

Zero-Shot Robotic Manipulation via 3D Gaussian Splatting-Enhanced Multimodal Retrieval-Augmented Generation AAAI 2026

Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation AAAI 2026

MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents AAAI 2026

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting AAAI 2026

SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks AAAI 2026

TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents AAAI 2026

Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback AAAI 2026

From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling AAAI 2026

Reasoning with Exploration: An Entropy Perspective AAAI 2026

SegMem-RAG: Adaptive Memory for Retrieval-Augmented Generation in Open-Ended Knowledge Environments AAAI 2026

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools AAAI 2026

AutoTool: Efficient Tool Selection for Large Language Model Agents AAAI 2026

Meta-Tool: Unleash Open-World Function Calling Capabilities of General-Purpose Large Language Models ACL 2025

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation ACL 2025

ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract) AAAI 2025

Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement ACL 2025

InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating ACL 2025

Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems AAAI 2025

Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories AAAI 2025

Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets ACL 2025

LLM Agents Making Agent Tools ACL 2025

GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue AAAI 2025