3 papers
cs.CL2026
RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game
Shijia Xu, Yu Wang, Xiaolong Jia +3
Despite the widespread adoption of Large Language Models (LLMs) in Legal AI, their utility for automated contract revision remains impeded by hallucinated safety and a lack of rigo…
cs.CL2026
Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS
Shijia Xu, Zhou Wu, Xiaolong Jia +3
Retrieval-augmented generation (RAG) substantially extends the knowledge boundary of large language models. However, it still faces two major challenges when handling complex reaso…
cs.AR2025
Dataset Construction for Training LLM to Learn Analog Circuit Knowledge
Zihao Chen, Ji Zhuang, Jinyi Shen +11
This paper constructs a textual dataset for training large language models (LLMs) to learn analog circuit knowledge and customizes LLM training techniques. For dataset construction…