6 papers
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…
Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection
Hui Li, Zhongquan Jian, Jinsong Su +1
Automatic misinformation detection performs well when deception is visible in what an article explicitly states. However, some misinformation articles remain locally coherent and o…
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…
Personality-guided Public-Private Domain Disentangled Hypergraph-Former Network for Multimodal Depression Detection
Changzeng Fu, Shiwen Zhao, Yunze Zhang +3
Depression represents a global mental health challenge requiring efficient and reliable automated detection methods. Current Transformer- or Graph Neural Networks (GNNs)-based mult…