Aatif Muhammad Althaf Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
grad_student
Research Areas
Biography and Research Information
OverviewAI-generated summary
Aatif Muhammad Althaf, a graduate student at the University of Arkansas at Little Rock, focuses his research on data quality and management, topic modeling, and web data mining. His work addresses challenges in information extraction and integration from diverse online sources. Althaf's recent projects have explored innovative approaches to entity resolution, including a multi-agent framework leveraging specialized agent coordination to move beyond single large language model approaches. He also employs transformer-centric methods for semantic entity resolution on synthetic datasets.
Metrics
- h-index: 1
- Publications: 2
- Citations: 1
Selected Publications
-
Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach (2025)
Collaboration Network
Top Collaborators
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Multi-Agent RAG Framework for Entity Resolution: Advancing Beyond Single-LLM Approaches with Specialized Agent Coordination
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Multi-Agent RAG Framework for Entity Resolution: Advancing Beyond Single-LLM Approaches with Specialized Agent Coordination
- Multi-Agent RAG Framework for Entity Resolution: Advancing Beyond Single-LLM Approaches with Specialized Agent Coordination
- Multi-Agent RAG Framework for Entity Resolution: Advancing Beyond Single-LLM Approaches with Specialized Agent Coordination