Xiaozhong Liu
Computer Science · Indiana University
Publications
275
Citations
3,935
Est. group size
—
Recurring co-author estimate
Active years
35
Publishing since 1992
Xiaozhong Liu works in natural language processing and text analysis, with recent projects centered on applying large language models (LLMs) to specialized domains such as legal question answering, clinical trial prediction, and academic writing support. The research also explores network and graph analysis techniques, human-AI collaboration, and the security of AI systems (for example, adversarial attacks on retrieval-augmented generation). Much of the work aims to build practical, domain-specific AI tools.
Publication activity has been steady and relatively high over the past decade, with roughly 15-25 papers per year in recent years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Unpacking the predictive power of peer review under scientific disruption: Evidence from AI research
Journal of Informetrics · 2026
- Privacy-preserved LLM Cascade via CoT-enhanced Policy Learning
2026
- LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation
2026
- Deep Interaction Timing: FOL-based Complexity Differentiation for Legal Queries
2025
- AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval
arXiv (Cornell University) · 2025
- KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model
arXiv (Cornell University) · 2025
- Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains
2025
- ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
2025
- Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains
arXiv (Cornell University) · 2025
- Remote Troubleshooting APP Development for Excavators Based on Android System
Lecture notes in mechanical engineering · 2025
- CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs
arXiv (Cornell University) · 2025
- Effective Human–AI Collaborative Intelligence
Cambridge University Press eBooks · 2025
- Risks to Scientific Peer Review in the Era of Technoscientific Acceleration: Evidence from AI Research
SSRN Electronic Journal · 2025
- Preserving high-order ego-centric topological patterns in node representation in heterogeneous graph
Knowledge-Based Systems · 2025
- FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models
arXiv (Cornell University) · 2025
- arXiv (Cornell University)×44
- Proceedings of the AAAI Conference on Artificial Intelligence×9
- Proceedings of the Association for Information Science and Technology×8
- Lecture notes in computer science×6
- Information Processing & Management×3
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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