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Agent Systems

4,710 papers

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Papers

APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets NeurIPS 2024 AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction EMNLP 2024 Applying Reinforcement Learning and Multi-Generators for Stage Transition in an Emotional Support Dialogue System Interspeech 2024 AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents ACL 2024 A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024 A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis ICLR 2024 Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues EMNLP 2024 Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning NeurIPS 2024 A Single Motor Nano Aerial Vehicle with Novel Peer-to-Peer Communication and Sensing Mechanism RSS 2024 Assessing and Verifying Task Utility in LLM-Powered Applications EMNLP 2024 AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? EMNLP 2024 Assume-Guarantee Reinforcement Learning AAAI 2024 A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning NeurIPS 2024 A Survey of Ontology Expansion for Conversational Understanding EMNLP 2024 A Survey on Model-Free Goal Recognition IJCAI 2024 Athena: Safe Autonomous Agents with Verbal Contrastive Learning EMNLP 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 Augmented Commonsense Knowledge for Remote Object Grounding AAAI 2024 AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL 2024 AutoAgents: A Framework for Automatic Agent Generation IJCAI 2024 AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024 AUTOGEN STUDIO: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems EMNLP 2024 AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents NeurIPS 2024 Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents EMNLP 2024 AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning NeurIPS 2024