activity
20232026
most citedImproving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Stepping VLMs onto the Court: Benchmarking Spatial Intelligence in Sports

Yuchen Yang, Yuqing Shao, Duxiu Huang +11

Sports have long attracted broad attention as they push the limits of human physical and cognitive capabilities. Amid growing interest in spatial intelligence for vision-language m…

cs.CL2025

DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models

YiQiu Guo, Yuchen Yang, Zhe Chen +5

The reliability of large language models remains a critical challenge, particularly due to their susceptibility to hallucinations and factual inaccuracies during text generation. E…

cs.SD2024★ 1 cited

HSDreport: Heart Sound Diagnosis with Echocardiography Reports

Zihan Zhao, Pingjie Wang, Liudan Zhao +7

Heart sound auscultation holds significant importance in the diagnosis of congenital heart disease. However, existing methods for Heart Sound Diagnosis (HSD) tasks are predominantl…

cs.CL2024

DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics

YiQiu Guo, Yuchen Yang, Ya Zhang +2

Structured data offers a sophisticated mechanism for the organization of information. Existing methodologies for the text-serialization of structured data in the context of large l…

cs.CL2023★ 2 cited

Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning

Yuchen Yang, Houqiang Li, Yanfeng Wang +1

In recent years, large-scale language models (LLMs) have gained attention for their impressive text generation capabilities. However, these models often face the challenge of "hall…