
LoRA Fine-Tuning of English-Norwegian NMT for the Oil & Gas Industry
EAMT 2026 research on LoRA adaptation for low-resource petroleum-domain machine translation.
I have hands-on experience taking projects from idea and experimentation to implementation and evaluation, covering both research projects and applied AI systems.

EAMT 2026 research on LoRA adaptation for low-resource petroleum-domain machine translation.

A diagnostic study of modular LoRA experts for low-resource petroleum translation.

Exact Shapley analysis of how training groups shape machine-translation behavior.

A reliability-audited benchmark for evidence-grounded RAG on 15 long annual reports, with 720 QA items and traceable report-, page-, and object-level evidence.

A controlled study of when graph structure improves evidence localization in long annual reports, separating object recovery, page coverage, and candidate competition.
A controlled study of whether embeddings can retrieve different clinical evidence when the requested information changes.
A controlled English-Norwegian MT study showing how Bokmål filtering creates target-standard specialization—and how reference choice can turn that specialization into an evaluation-bias problem.
A reproducible pipeline for building English-Norwegian MT data and retrieval-ready text from public Equinor web pages and PDFs.
A continual LoRA adaptation study examining new-source learning, old-source forgetting, and replay-based retention in petroleum-domain MT.
A reusable evaluation framework for matched-prompt and image-instruction bias studies, covering geographic, gender-occupation, and political/moral VLM framing cases.

EAMT 2026 research on LoRA adaptation for low-resource petroleum-domain machine translation.

A diagnostic study of modular LoRA experts for low-resource petroleum translation.

Exact Shapley analysis of how training groups shape machine-translation behavior.

A reliability-audited benchmark for evidence-grounded RAG on 15 long annual reports, with 720 QA items and traceable report-, page-, and object-level evidence.

A controlled study of when graph structure improves evidence localization in long annual reports, separating object recovery, page coverage, and candidate competition.
A controlled study of whether embeddings can retrieve different clinical evidence when the requested information changes.
A controlled English-Norwegian MT study showing how Bokmål filtering creates target-standard specialization—and how reference choice can turn that specialization into an evaluation-bias problem.
A reproducible pipeline for building English-Norwegian MT data and retrieval-ready text from public Equinor web pages and PDFs.
A continual LoRA adaptation study examining new-source learning, old-source forgetting, and replay-based retention in petroleum-domain MT.
A reusable evaluation framework for matched-prompt and image-instruction bias studies, covering geographic, gender-occupation, and political/moral VLM framing cases.