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Aoze Zheng

2 accepted papers

2026

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning

AAAI 2026technical

Text-to-SQL is a critical task in natural language processing that aims to transform natural language questions into accurate and executable SQL queries. In real-world scenarios, these reasoning tasks are often accompanied by complex mathematical computations, domain knowledge, and hypothetical reas

Cited by 0SourcePDFScholar
2025

CaDRL: Document-level Relation Extraction via Context-aware Differentiable Rule Learning

COLING 2025main

Document-level Relation Extraction (DocRE) aims to extract relations from documents. Compared with sentence-level relation extraction, it is necessary to extract long-distance dependencies. Existing methods enhance the output of trained DocRE models either by learning logical rules or by extracting…