Zi Wang

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UA Little Rock

2 pubs

Research Areas

OverviewAI-generated summary

Zi Wang's research investigates the application of artificial intelligence and natural language processing techniques to information seeking and automated content generation. Their work includes developing systems for evaluating multi-turn information-seeking dialogues, as demonstrated in the publication "Do LLMs Know What to Ask and When? Evaluating Multi-Turn Information Seeking." Wang also focuses on efficient indexing and retrieval for large-scale vector search, as evidenced by "NeuRoute: Logit-Guided Neural Routing for Billion-Scale Vector Search with Sub-Hour Index Construction." Another area of study involves agentic systems for scholarly paper generation, outlined in "ARISE: Agentic Rubric-Guided Iterative Survey Engine for Automated Scholarly Paper Generation." Wang has co-authored publications with Xingqiao Wang and Xiaowei Xu at the University of Arkansas at Little Rock.

Metrics

Publications: 2

Selected Publications

NeuRoute: Logit-Guided Neural Routing for Billion-Scale Vector Search with Sub-Hour Index Construction (2026)

arXiv (Cornell University) DOI OpenAlex
ARISE: Agentic Rubric-Guided Iterative Survey Engine for Automated Scholarly Paper Generation (2026)

DOI OpenAlex