Papers by Hangyu Mao

2 papers
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering (2025.acl-long)

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Challenge: Existing approaches to multi-hop question answering struggle to identify and organize dynamic knowledge . et al., 2023; Liu e.t. al. 2023) suggest a dual-process framework for multi-step reasoning .
Approach: They propose a synergistic dual-process framework that integrates reasoning and retrieval.
Outcome: The proposed framework improves answer accuracy and coherence even in smaller-scale models.
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems (2024.emnlp-industry)

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Challenge: Large language models have demonstrated proficiency in addressing tasks that necessitate a combination of task planning and the usage of external tools.
Approach: They propose a framework to enhance the task planning and tool usage abilities of LLMs in industrial systems.
Outcome: The proposed framework enhances the task planning and tool usage abilities of LLM-based agents in industrial systems.

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