2 citations · 3 across the 7 of their papers we have counts for
7 papers
CoCR-RAG: Enhancing Retrieval-Augmented Generation in Web Q&A via Concept-oriented Context Reconstruction
Kaize Shi, Xueyao Sun, Qika Lin +4
Retrieval-augmented generation (RAG) has shown promising results in enhancing Q&A by incorporating information from the web and other external sources. However, the supporting docu…
Creative Convergence or Imitation? Genre-Specific Homogeneity in LLM-Generated Chinese Literature
Yuanchi Ma, Kaize Shi, Hui He +5
Large Language Models (LLMs) have demonstrated remarkable capabilities in narrative generation. However, they often produce structurally homogenized stories, frequently following r…
Enabling Collaborative Parametric Knowledge Calibration for Retrieval-Augmented Vision Question Answering
Jiaqi Deng, Kaize Shi, Zonghan Wu +3
Knowledge-based Vision Question Answering (KB-VQA) systems address complex visual-grounded questions with knowledge retrieved from external knowledge bases. The tasks of knowledge…
Expert-Guided Extinction of Toxic Tokens for Debiased Generation
Xueyao Sun, Kaize Shi, Haoran Tang +2
Large language models (LLMs) can elicit social bias during generations, especially when inference with toxic prompts. Controlling the sensitive attributes in generation encounters…
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation
Kaize Shi, Xueyao Sun, Qing Li +1
Large Language Models (LLMs) have made significant strides in information acquisition. However, their overreliance on potentially flawed parametric knowledge leads to hallucination…
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
Yakun Chen, Kaize Shi, Zhangkai Wu +5
Spatiotemporal data analysis is pivotal across various domains, such as transportation, meteorology, and healthcare. The data collected in real-world scenarios are often incomplete…
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning
Guiming Cao, Kaize Shi, Hong Fu +2
Pre-trained Vision-Language (V-L) models set the benchmark for generalization to downstream tasks among the noteworthy contenders. Many characteristics of the V-L model have been e…