5 papers · 1 filter
ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models
Wentao Qiu, Guanran Luo, Zhongquan Jian +3
A central challenge in large-scale decision-making under incomplete information is estimating reliable probabilities. Recent approaches use Large Language Models (LLMs) to generate…
DimMem: Dimensional Structuring for Efficient Long-Term Agent Memory
Wentao Qiu, Haotian Hu, Fanyi Wang +2
Large language model (LLM) agents require long-term memory to leverage information from past interactions. However, existing memory systems often face a fidelity--efficiency trade-…
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…
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…
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…