2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation
Li Yuan, Yi Cai, Haopeng Ren +1
Generating coherent and credible explanations remains a significant challenge in the field of AI. In recent years, researchers have delved into the utilization of entailment trees…
cs.SE2023★ 2 cited
Enhancing Large Language Models for Secure Code Generation: A Dataset-driven Study on Vulnerability Mitigation
Jiexin Wang, Liuwen Cao, Xitong Luo +4
Large language models (LLMs) have brought significant advancements to code generation, benefiting both novice and experienced developers. However, their training using unsanitized…
cs.CV2023
Toward Auto-evaluation with Confidence-based Category Relation-aware Regression
Jiexin Wang, Jiahao Chen, Bing Su
Auto-evaluation aims to automatically evaluate a trained model on any test dataset without human annotations. Most existing methods utilize global statistics of features extracted…