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Xiu Tang

4 accepted papers

2026

Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement

AAAI 2026technical

With the development of large language models (LLMs) in the field of programming, intelligent programming coaching systems have gained widespread attention. However, most research focuses on repairing the buggy code of programming learners without providing the underlying causes of the bugs. To addr

Cited by 0SourcePDFScholar
2025

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation

AAAI 2025technical

Large language models (LLMs) have significantly advanced the performance of various natural language processing tasks, including text-to-SQL. Current LLM-based text-to-SQL schemes mainly focus on improving the understanding of natural language questions (NLQs) or refining the quality of generated SQ…

2025

Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning

AAAI 2025technical

Automated Program Repair (APR) is a task to automatically generate patches for the buggy code. However, most research focuses on generating correct patches while ignoring the consistency between the fixed code and the original buggy code. How to conduct adaptive bug fixing and generate patches with…

2025

T2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning

ACL 2025finding

Multimodal learning is garnering significant attention for its capacity to represent diverse human perceptions (e.g., linguistic, acoustic, and visual signals), achieving more natural and intuitive interactions with technology.However, the frequent occurrence of incomplete data, either within a sing…