Summary of Correcting Negative Bias in Large Language Models Through Negative Attention Score Alignment, by Sangwon Yu et al.
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignmentby Sangwon Yu, Jongyoon…
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignmentby Sangwon Yu, Jongyoon…
KemenkeuGPT: Leveraging a Large Language Model on Indonesia’s Government Financial Data and Regulations to Enhance…
CEAR: Automatic construction of a knowledge graph of chemical entities and roles from scientific literatureby…
Knowledge Pyramid Construction for Multi-Level Retrieval-Augmented Generationby Rubing Chen, Xulu Zhang, Jiaxin Wu, Wenqi Fan,…
Mixture of Modular Experts: Distilling Knowledge from a Multilingual Teacher into Specialized Modular Language Modelsby…
Identity-Driven Hierarchical Role-Playing Agentsby Libo Sun, Siyuan Wang, Xuanjing Huang, Zhongyu WeiFirst submitted to arxiv…
Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Modelsby Jia-Hong…
A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic Differentiationby Laiyi Fu,…
Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Modelsby Xiang…
Mpox Detection Advanced: Rapid Epidemic Response Through Synthetic Databy Yudara Kularathne, Prathapa Janitha, Sithira Ambepitiya,…