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ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
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Communicative agents for software development
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Toolllm: Facilitating large language models to master 16000+ real-world apis
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ODSearch: Fast and Resource Efficient On-device Natural Language Search for Fitness Trackers’ Data
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ChatCite: LLM agent with human workflow guidance for comparative literature summary
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Reza Rawassizadeh and Yi Rong. 2023 · 2023
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Integrating summarization and retrieval for enhanced personalization via large language models
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Step: Stacked llm policies for web actions
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Xagent: An autonomous agent for complex task solving
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Voyager: An open-ended embodied agent with large language models
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RecAgent: A Novel Simulation Paradigm for Recommender Systems
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RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. In Companion Proceedings of the ACM on Web Conference 2024 . 1031–1034
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Lawluo: A chinese law firm co-run by llm agents
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Adapted large language models can outperform medical experts in clinical text summarization
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Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads. In Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems . 506–513
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CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis
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Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground
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ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
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Gpt-4v (ision) is a generalist web agent, if grounded
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Gpt-4v (ision) is a generalist web agent, if grounded
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How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation. In Companion Proceedings of the ACM on Web Conference 2024 . 1726–1732
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PaSa: An LLM Agent for Comprehensive Academic Paper Search
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A Survey on LLM-powered Agents for Recommender Systems
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AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
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