3 papers
cs.CL2026
AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text Generation
Guanran Luo, Wentao Qiu, Wanru Zhao +4
Large Language Models (LLMs) have demonstrated impressive capabilities in long-form generation, yet their application is hindered by the hallucination problem. While Uncertainty Qu…
cs.CL2026
DTCRS: Dynamic Tree Construction for Recursive Summarization
Guanran Luo, Zhongquan Jian, Wentao Qiu +2
Retrieval-Augmented Generation (RAG) mitigates the hallucination problem of Large Language Models (LLMs) by incorporating external knowledge. Recursive summarization constructs a h…
cs.CL2026
GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question Answering
Guanran Luo, Wentao Qiu, Zhongquan Jian +2
Chain-of-Thought reasoning can enhance large language models, but it requires manually designed prompts to guide the model. Recently proposed CoT-decoding enables the model to gene…