Papers with Knowledge retrieval

3 papers
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering (2021.findings-acl)

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Challenge: Existing approaches suffer from low confidence when retrieving evidence facts to fill the knowledge gap and lack transparent reasoning process.
Approach: They propose a framework to exploit more valid facts while obtaining explainability for multi-hop question answering at web scale by dynamically constructing a semantic graph and reasoning over it.
Outcome: The proposed framework surpasses existing approaches while maintaining high explainability on OpenBookQA and ARC-Challenge.
Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue (2024.lrec-main)

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Challenge: Existing approaches to knowledge retrieval are limited by the knowledge base encoder, but our work focuses on the knowledge-base encoder.
Approach: They propose an approach that utilizes topic modeling on the knowledge base to improve retrieval accuracy and as a result, improve response generation.
Outcome: The proposed approach can improve retrieval and generation performance on two datasets.
LLM-Enhanced Query Generation and Retrieval Preservation for Task-Oriented Dialogue (2025.findings-acl)

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Challenge: Existing knowledge retrieval methods for task-oriented dialogues are limited by data scarcity and lack of data to annotate.
Approach: They propose an LLM-enhanced model of query-guided knowledge retrieval for task-oriented dialogue . they propose to select the most relevant knowledge from retrieved top-K records and incorporate them as prompts to guide a generator in response generation.
Outcome: The proposed model outperforms state-of-the-art in three benchmarks on three standard benchmarks.

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