most citedEfficientRAG: Efficient Retriever for Multi-Hop Question Answering

1 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE20251 cited

Enabling Autonomic Microservice Management through Self-Learning Agents

Fenglin Yu, Fangkai Yang, Xiaoting Qin +8

The increasing complexity of modern software systems necessitates robust autonomic self-management capabilities. While Large Language Models (LLMs) demonstrate potential in this do…

cs.HC20241 cited

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang +6

The rise of large language models (LLMs) has revolutionized user interactions with knowledge-based systems, enabling chatbots to synthesize vast amounts of information and assist w…

cs.CL20241 cited

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng +7

Retrieval-augmented generation (RAG) methods encounter difficulties when addressing complex questions like multi-hop queries. While iterative retrieval methods improve performance…

cs.AI2024

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Zhiyang Zhang, Xi Chen, Fangkai Yang +7

Large language model (LLM)-based AI delegates are increasingly utilized to act on behalf of users, assisting them with a wide range of tasks through conversational interfaces. Desp…

cs.AI2024

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents

Junting Lu, Zhiyang Zhang, Fangkai Yang +7

Multimodal large language models (MLLMs) have enabled LLM-based agents to directly interact with application user interfaces (UIs), enhancing agents' performance in complex tasks.…