2 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
Can artificial intelligence predict clinical trial outcomes?
Shuyi Jin, Lu Chen, Hongru Ding +2
This study evaluates the performance of large language models (LLMs) and the HINT model in predicting clinical trial outcomes, focusing on metrics including Balanced Accuracy, Matt…
Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment
Lu Chen, Yuxuan Huang, Yixing Li +6
This paper presents a method to analyze the inference patterns used by Large Language Models (LLMs) for judgment in a case study on legal LLMs, so as to identify potential incorrec…
Bailong: Bilingual Transfer Learning based on QLoRA and Zip-tie Embedding
Lung-Chuan Chen, Zong-Ru Li
Large language models (LLMs) have demonstrated exceptional performance in various NLP applications. However, the majority of existing open-source LLMs are pre-trained primarily on…
Text Classification Based on Knowledge Graphs and Improved Attention Mechanism
Siyu Li, Lu Chen, Chenwei Song +1
To resolve the semantic ambiguity in texts, we propose a model, which innovatively combines a knowledge graph with an improved attention mechanism. An existing knowledge base is ut…