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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Large Language Models offer new opportunities to devise automated implementation
generation methods that can tackle problem solving activities beyond traditional methods …
generation methods that can tackle problem solving activities beyond traditional methods …
Tqa-bench: Evaluating llms for multi-table question answering with scalable context and symbolic extension
The advent of large language models (LLMs) has unlocked great opportunities in complex
data management tasks, particularly in question answering (QA) over complicated multi …
data management tasks, particularly in question answering (QA) over complicated multi …
Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding
The ubiquity and value of tables as semi-structured data across various domains necessitate
advanced methods for understanding their complexity and vast amounts of information …
advanced methods for understanding their complexity and vast amounts of information …
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
Missing data imputation is a critical challenge in various domains, such as healthcare and
finance, where data completeness is vital for accurate analysis. Large language models …
finance, where data completeness is vital for accurate analysis. Large language models …
Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning
Despite the remarkable capabilities of large language models (LLMs) in various reasoning
tasks, they still struggle with table reasoning tasks, particularly in maintaining consistency …
tasks, they still struggle with table reasoning tasks, particularly in maintaining consistency …