activity
20212026
most citedLLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following

6 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

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…

cs.CL2025

Concept than Document: Context Compression via AMR-based Conceptual Entropy

Kaize Shi, Xueyao Sun, Xiaohui Tao +3

Large Language Models (LLMs) face information overload when handling long contexts, particularly in Retrieval-Augmented Generation (RAG) where extensive supporting documents often…

cs.CL2024

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…

cs.CL2024★ 2 cited

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…

cs.CV2023★ 1 cited

BiHRNet: A Binary high-resolution network for Human Pose Estimation

Zhicheng Zhang, Xueyao Sun, Yonghao Dang +1

Human Pose Estimation (HPE) plays a crucial role in computer vision applications. However, it is difficult to deploy state-of-the-art models on resouce-limited devices due to the h…

cs.CL2023★ 6 cited

LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following

Kaize Shi, Xueyao Sun, Dingxian Wang +3

E-commerce authoring entails creating engaging, diverse, and targeted content to enhance preference elicitation and retrieval experience. While Large Language Models (LLMs) have re…

cs.CL2021★ 5 cited

Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews

Xuechun Li, Xueyao Sun, Zewei Xu +1

In this paper, we conduct a sentence level sentiment analysis on the product reviews from Amazon and thorough analysis on the model interpretability. For the sentiment analysis tas…