6 citations · 6 across the 4 of their papers we have counts for
5 papers
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Dawei Gao, Zitao Li, Yuexiang Xie +20
Driven by rapid advancements of Large Language Models (LLMs), agents are empowered to combine intrinsic knowledge with dynamic tool use, greatly enhancing their capacity to address…
Evaluation Report on MCP Servers
Zhiling Luo, Xiaorong Shi, Xuanrui Lin +1
With the rise of LLMs, a large number of Model Context Protocol (MCP) services have emerged since the end of 2024. However, the effectiveness and efficiency of MCP servers have not…
Automatic database description generation for Text-to-SQL
Yingqi Gao, Zhiling Luo
In the context of the Text-to-SQL task, table and column descriptions are crucial for bridging the gap between natural language and database schema. This report proposes a method f…
Reinforced Large Language Model is a formal theorem prover
Zhiling Luo
To take advantage of Large Language Model in theorem formalization and proof, we propose a reinforcement learning framework to iteratively optimize the pretrained LLM by rolling ou…
A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
Yingqi Gao, Yifu Liu, Xiaoxia Li +10
To tackle the challenges of large language model performance in natural language to SQL tasks, we introduce XiYan-SQL, an innovative framework that employs a multi-generator ensemb…