5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2025
UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM Output
Sicong Huang, Jincheng He, Shiyuan Huang +3
Hallucinations pose a significant challenge for large language models when answering knowledge-intensive queries. As LLMs become more widely adopted, it is crucial not only to dete…
cs.CL2025★ 5 cited
Baichuan-M1: Pushing the Medical Capability of Large Language Models
Bingning Wang, Haizhou Zhao, Huozhi Zhou +39
The current generation of large language models (LLMs) is typically designed for broad, general-purpose applications, while domain-specific LLMs, especially in vertical fields like…
cs.CL2021★ 1 cited
A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods
Dehao Tao, Yingzhu Xiong, Zhongliang Yang +1
In recent years, text summarization methods have attracted much attention again thanks to the researches on neural network models. Most of the current text summarization methods ba…