Scholar
Shenglai Zeng
Google Scholar ID: 2EFS5WEAAAAJ
Michigan State University
Large language models
Retrieval-augmented Generation
Information retrieval
AI safety
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Citations
597
H-index
12
i10-index
12
Publications
20
Co-authors
21
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Publications
20 items
MemTrace: Probing What Final Accuracy Misses in Long-Term Memory
2026
Cited
0
Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension
2026
Cited
0
Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline
2026
Cited
0
JobBench: Aligning Agent Work With Human Will
2026
Cited
0
Why Retrieval-Augmented Generation Fails: A Graph Perspective
2026
Cited
0
When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression
2026
Cited
0
Fix Before Search: Benchmarking Agentic Query Visual Pre-processing in Multimodal Retrieval-augmented Generation
2026
Cited
0
Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs
2026
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0
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Resume (English only)
Co-authors
21 total
Jiliang Tang
University Foundation Professor of Computer Science and Engineering, Michigan State University
Jie Ren
Michigan State University
Yue Xing
Michigan State University
Pengfei He
PhD student, Michigan State University
Han Xu
Assistant Professor, University of Arizona
Dawei Yin
Senior Director, Head of Search Science at Baidu
Zonghang Li
MBZUAI
Hongfang Yu
UESTC