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Qingyao Ai — most-cited papers & profile · Generative Models
← authors
·
overview
Qingyao Ai
17
papers ·
580
citations ·
0
h-index
Rutgers, The State University of New Jersey · Tsinghua University
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Most-cited papers
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
2018 · 446 citations
DRAGIN: Dynamic Retrieval Augmented Generation Based On The Information Needs Of Large Language Models
2024 · 65 citations
PRE: A Peer Review Based Large Language Model Evaluator
2024 · 31 citations
BLADE: Enhancing Black-box Large Language Models With Small Domain-specific Models
2024 · 28 citations
FARA: Future-aware Ranking Algorithm for Fairness Optimization
2023 · 10 citations
RWGBench: Evaluating Scholarly Positioning in Related Work Generation
2026
Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
2025
Overview of the NTCIR-18 Automatic Evaluation of LLMs (AEOLLM) Task
2025
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
2025
Top co-authors
Anzhe Xie
· 1
Jiaxin Mao
· 1
Min Zhang
· 1
Shaoping Ma
· 1
Weihang Su
· 1
Yiqun Liu
· 1
Topics
Evaluation
RAG
In-Context Learning
Efficiency
Fine-Tuning
Training Techniques
Ranking & CTR
Collaborative Filtering
Model Architecture
Prompting