Sotabase

Career

· Software Engineer, Google2019–
· Research Intern, IBM Almaden Research Center2017–2017
· Research Intern, Microsoft2016–2016
· Intern, LinkedIn2014–2014
· Doctor of Philosophy (PhD), Computer Science, University of Illinois at Urbana-Champaign2013–2019
· PhD Student, University of Illinois at Urbana-Champaign2013–2019
· Research Intern, Knowledge Engineering Group of Tsinghua University2010–2013
· Bachelor of Engineering (B.Eng.), Computer Science and Technology, Tsinghua University2009–2013

Publications (75)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv.org · 2025
1,636
cited
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
NAACL-HLT · 2023
370
cited
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
arXiv.org · 2021
232
cited
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2022
187
cited
Influence Maximization in Dynamic Social Networks
2013 IEEE 13th International Conference on Data Mining · 2013
166
cited
GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2016
150
cited
Learning to Infer Social Ties in Large Networks
ECML/PKDD · 2011
141
cited
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
International Conference on Learning Representations · 2021
132
cited
Spherical Text Embedding
Neural Information Processing Systems · 2019
124
cited
TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams
Knowledge Discovery and Data Mining · 2017
123
cited
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
North American Chapter of the Association for Computational Linguistics · 2023
122
cited
How Does Generative Retrieval Scale to Millions of Passages?
Conference on Empirical Methods in Natural Language Processing · 2023
83
cited
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2023
72
cited
Query Expansion by Prompting Large Language Models
arXiv.org · 2023
59
cited
Inference Scaling for Long-Context Retrieval Augmented Generation
International Conference on Learning Representations · 2024
53
cited
GeoBurst+
ACM Transactions on Intelligent Systems and Technology · 2018
44
cited
Cross-Positional Attention for Debiasing Clicks
The Web Conference · 2021
41
cited
Interpretable Ranking with Generalized Additive Models
Web Search and Data Mining · 2021
41
cited
Actively learning to infer social ties
Data mining and knowledge discovery · 2012
37
cited
Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
Web Search and Data Mining · 2015
35
cited
Sotabase
Honglei Zhuang | Researcher Profile | Sotabase | Sotabase