Papers with database querying

2 papers
DBQR-QA: A Question Answering Dataset on a Hybrid of Database Querying and Reasoning (2024.findings-acl)

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Challenge: Question answering (QA) is a fundamental task in the field of Natural Language Processing (NLP).
Approach: They propose a database querying and reasoning dataset for question answering that is designed to accommodate sequential questions and multi-hop queries.
Outcome: The proposed dataset better mirrors the dynamics of real-world information retrieval and analysis with a particular focus on the financial reports of US companies.
PlanGenLLMs: A Modern Survey of LLM Planning Capabilities (2025.acl-long)

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Challenge: Existing studies have focused on developing LLMs to automate complex planning tasks.
Approach: They propose to provide a comprehensive overview of current LLM planners to fill this gap . they examine performance criteria including completeness, executability, optimality, representation, generalization, and efficiency .
Outcome: The proposed survey examines performance criteria for LLM planners and highlights their strengths and weaknesses.

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