IEEE

AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation

Abstract: Recent research in Text-to-SQL translation has primarily adopted in-context learning methods leveraging large language models (LLMs), achieving significant progress. However, these methods ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
GitHub

Fetch an entire site and use it as an MCP Server

Use -t, --tool-name-strategy to specify the tool name strategy, it will be used as the MCP server name (default: domain). This will be used as the MCP server name. Use -l, --max-length to specify the ...
IEEE

Power Consumption Optimization of GPU Server With Offline Reinforcement Learning

Abstract: The rapid growth of artificial intelligence (AI) has led to increased reliance on power-intensive Graphics Processing Units (GPUs), which are essential for training and deploying large-scale ...