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Pengjun Xie — most-cited papers & profile · Large Language Models
← authors
·
overview
Pengjun Xie
28
papers ·
113
citations ·
20
h-index
Alibaba Group (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Editing Personality For Large Language Models
2023 · 20 citations
Cofe-rag: A Comprehensive Full-chain Evaluation Framework For Retrieval-augmented Generation With Enhanced Data Diversity
2024 · 12 citations
EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data
2023 · 3 citations
Language Models are Universal Embedders
2023 · 2 citations
RaFe: Ranking Feedback Improves Query Rewriting for RAG
2024 · 1 citations
ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking
2025
DynamicBench: Evaluating Real-Time Report Generation in Large Language Models
2025
MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
2025
A Two-Stage Adaptation of Large Language Models for Text Ranking
2023
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling
2024
Retrieved In-Context Principles from Previous Mistakes
2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process
2024
KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models
2024
Top co-authors
Yong Jiang
· 4
Dingkun Long
· 3
Yanzhao Zhang
· 3
Fei Huang
· 2
Fei Huang
· 2
Hao Sun
· 2
Meishan Zhang
· 2
Min Zhang
· 2
Ningyu Zhang
· 2
Shengyu Mao
· 2
Shen Huang
· 2
Xiaobin Wang
· 2
Topics
RAG
Evaluation
Training Techniques
Fine-Tuning
In-Context Learning
Reinforcement Learning
Model Architecture
Code
Prompting
Efficiency