Fernando Diaz
Scholar

Fernando Diaz

Google Scholar ID: 212SLn0AAAAJ
Carnegie Mellon University
AI EvaluationAI and cultureRecommender SystemsInformation Retrieval
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
7,293
 
H-index
40
 
i10-index
85
 
Publications
20
 
Co-authors
55
list available
Contact
CVOpen ↗TwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
10 items
Overview of the TREC 2025 Tip-of-the-Tongue track
2026
Cited
0
Diversification as Risk Minimization
2025
Cited
0
Taxonomy of User Needs and Actions
2025
Cited
0
RankList - A Listwise Preference Learning Framework for Predicting Subjective Preferences
2025
Cited
0
MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
2025
Cited
0
Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
2025
Cited
0
LTRR: Learning To Rank Retrievers for LLMs
2025
Cited
0
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy
2025
Cited
0
Resume (English only)
Co-authors
55 total
Bhaskar Mitra
Bhaskar Mitra
Independent Researcher
Carlos Castillo
Carlos Castillo
ICREA Research Professor at Universitat Pompeu Fabra
Jaime Arguello
Jaime Arguello
Professor, University of North Carolina at Chapel Hill
Donald Metzler
Donald Metzler
Google DeepMind
Alexandra Olteanu
Alexandra Olteanu
Microsoft Research
Nick Craswell
Nick Craswell
Microsoft
Co-author 7
Co-author 7
Muhammad Imran
Muhammad Imran
Principal Scientist, Qatar Computing Research Institute, Hamad Bin Khalifa University