Search Results for "-㎣〕{@hhu9999}광고대행상단광고웹문서노출∂찌라시광고달밤≪찌라시-광고구글광고전문㎢.pwphaben-wir-leider-kein-Suchergebnigefunden.-.kxa"

Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models

A Survey of Document-Level Information Extraction

The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning

AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes

Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximization

Kazi Sajeed Mehrab

Kazi Sajeed Mehrab is a Ph.D. student in the Department of Computer Science.  He is advised by Anuj Karpatne. His broader research interest lies in the field of multimodal deep learning and artificial intelligence. Currently, Mehrab is exploring techniques to leverage graph, image and textual data in scientific applications to achieve improved explainability and generalizability of […]

RE2: Region-Aware Relation Extraction from Visually Rich Documents

ExClaim: Explainable Neural Claim Verification Using Rationalization

Rationalization for Explainable NLP: A Survey

Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned

Zhen Guo, Pei Wang, Jin-Hee Cho, Lifu Huang: Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned. WWW (Companion Volume) 2023: 1381-1388