Bahrainian, Seyed Ali
- Enhancing Retrieval-Augmented Generation: A Study of Best Practices
2025/01/13 by Li, Siran, Stenzel, Linus, Eickhoff, Carsten +1 · 11 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- NEWTS: A Corpus for News Topic-Focused Summarization
2022/05/31 by Seyed Ali Bahrainian, Bahrainian, Seyed Ali, Sheridan Feucht +3 · 4 citations
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice
2025/01/02 by Federico Ravenda, Ravenda, Federico, Seyed Ali Bahrainian +7 · 3 citations
Psychology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Mental Health Research Topics
- Neural Summarization of Electronic Health Records
2023/05/24 by Koyena Pal, Seyed Ali Bahrainian, Pal, Koyena +5 · 1 citation
Computer Science · Nursing · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Nursing Diagnosis and Documentation #Topic Modeling
- Controllable Topic-Focused Abstractive Summarization
2023/11/12 by Seyed Ali Bahrainian, Martin Jaggi, Bahrainian, Seyed Ali +3 · 1 citation
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Understanding (Un)Reliability of Steering Vectors in Language Models
2025/05/28 by Joschka Braun, Braun, Joschka, Carsten Eickhoff +7 · 4 citations
Computer Science · Social Sciences · #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling