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20242026
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cs.CL2026

TableCache: Primary Foreign Key Guided KV Cache Precomputation for Low Latency Text-to-SQL

Jinbo Su, Yuxuan Hu, Cuiping Li +4

In Text-to-SQL tasks, existing LLM-based methods often include extensive database schemas in prompts, leading to long context lengths and increased prefilling latency. While user q…

cs.CL2025

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Haoyang Li, Shang Wu, Xiaokang Zhang +9

Text-to-SQL, the task of translating natural language questions into SQL queries, plays a crucial role in enabling non-experts to interact with databases. While recent advancements…

cs.CL2025

Diversifying Question Generation over Knowledge Base via External Natural Questions

Shasha Guo, Jing Zhang, Xirui Ke +2

Previous methods on knowledge base question generation (KBQG) primarily focus on enhancing the quality of a single generated question. Recognizing the remarkable paraphrasing abili…

cs.CL2025

Streamlining Redundant Layers to Compress Large Language Models

Xiaodong Chen, Yuxuan Hu, Jing Zhang +3

This paper introduces LLM-Streamline, a pioneer work on layer pruning for large language models (LLMs). It is based on the observation that different layers have varying impacts on…

cs.CL2024

PCQPR: Proactive Conversational Question Planning with Reflection

Shasha Guo, Lizi Liao, Jing Zhang +2

Conversational Question Generation (CQG) enhances the interactivity of conversational question-answering systems in fields such as education, customer service, and entertainment. H…