2 papers
cs.CL2026
CoAL-RAG: A Complexity-Aware Legal Retrieval-Augmented Generation Method
Jin Su, Zhuofeng Zhao, Huanhuan Wang +1
Legal consultation questions exhibit multi-level complexity. A single retrieval strategy often leads to over-reasoning for simple questions and poor interpretability for complex on…
cs.AI2025
ToolForge: A Data Synthesis Pipeline for Multi-Hop Search without Real-World APIs
Hao Chen, Zhexin Hu, Jiajun Chai +7
Training LLMs to invoke tools and leverage retrieved information necessitates high-quality, diverse data. However, existing pipelines for synthetic data generation often rely on te…