LLMs
Foundation models, transformer tooling, and language-model application work.
Foundation models, transformer tooling, and language-model application work.
Training, supervised fine-tuning, adapters, and parameter-efficient adaptation.
Search, RAG, hybrid retrieval, and late-interaction ranking.
Graph orchestration, multi-agent workflows, and tool-connected assistants.
Graph databases, ontology design, and persistent memory structures.
LLM evaluation, RAG assessment, robustness checks, and benchmarking.
Prompt search, optimization programs, and systematic prompt iteration.
Detection, segmentation, OCR, and visual preprocessing pipelines.
Deployment, backend APIs, containers, and persistent application storage.
arXiv · 2026 · First Author
arXiv · 2025 · First Author
Procedia Computer Science · 2026 · Co-author