Portrait of Liliana Hotsko

Liliana Hotsko

LLMs in Software Engineering • LoRA/HyperLoRA • Agent Systems • Privacy‑Preserving NLP

About

I am a Graduate Computer Science student at the University of Waterloo, supervized by Yuntian Deng. My research interests include Large Language Models, privacy‑preserving NLP, and agent systems.

Waterloo, ON, Canada · Open to research collaborations and internships.

Selected Works

Program As Weights

Program As Weights

LLM Neural Networks

Research on representing programs as neural network weights, exploring novel approaches to program synthesis and neural architecture design.

Demo of anonymization + RAG UI

LLM Anonymization Framework

PII masking RAG HE

A modular framework for pre‑LLM anonymization with transformer‑NER + LLM masking, encrypted vector search, and RAG evaluation. Supports English & Ukrainian, with a small UI for interactive testing.

Training curves comparing full finetune vs LoRA vs HyperLoRA

Hyper/LoRA vs Full‑FT (RepoBench)

Qwen2.5‑1.5B LoRA/Hypernetwork Profiling

Repository‑level QA fine‑tuning with custom masking and GPU memory profiling of LoRA, full FT, and a hypernetwork that generates LoRA weights. Focus on stable training & reproducibility.

MacTell app screenshot

MacTell — Open Interpreter

Swift Automation

Natural‑language control layer for macOS that executes actions (CLI, web, code, media). A unified interface to OS‑accessible tasks for productivity.

Graphs and rules extraction visualization

Benchmarking: Monotonic GNNs

XAI GNNs

Extracted explanatory rules from Monotonic GNNs and analyzed how architecture & extraction parameters affect rule quality and performance.

Contact

Email: lhotsko@uwaterloo.ca · GitHub: lilianahotsko · LinkedIn: Liliana Hotsko