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Paper: DocEng Short Paper - Cost-Aware Human-LLM Collaboration for Post-OCR Corrections Authors: Stergios Konstantinidis, Hayman Lotfy, Michalis Vlachos (University of Lausanne) Venue: ACM Symposium on Document Engineering (DocEng) - Short Paper GitHub: https:...

1. System Architecture: Three-Tier Collaborative Routing Preserving digitized historical archives requires mitigating transcription degradation without incurring unsustainable computational inference costs or inducing catastrophic hallucination. Naive appl...

Experimental Benchmark & Evaluation 1. Archival Corpus Evaluated across 609 text segments spanning 45 digitized pages from 9 Swiss French-language historical periodicals (Canton of Vaud, 1733–1945): Periodical Era Issues Pag...

Codebase Structure & Execution 1. Directory Overview paper/: LaTeX source files, TikZ diagrams ( overview_tikz.tex), figures, and presentation slides. code/plotting/: Scripts generating progressive performance curves and slide assets ( generate_ppt_asset...

Venue: ACM International Conference on Information and Knowledge Management (CIKM) Authors: Stergios Konstantinidis, Hayman Lotfy, Michalis Vlachos Affiliation: Department of Information Systems (DESI), HEC Lausanne GitHub Public: CIKM_public Overleaf Project:...

Cost-Aware Routing Strategies & Models 1. Feature Engineering (54 Features) The routing engine extracts 54 computationally inexpensive features prior to invoking any LLM: OCR Confidence Metrics: Mean confidence, minimum token confidence, standard deviation,...

Codebase Guide: Optimizing-LLM-based-OCR-Corrections 1. Directory Structure code/experiments/: confbert_router.py: ConfBERT token-level scoring and routing pipeline. experiment_linear_regression.py: Lasso and Ridge feature selection and cross-validati...

🎓 Examination: PhD Critical Reading Exam (Doctoral Commission, June 2026) 👤 Candidate: Stergios Konstantinidis • Department of Information Systems (DESI), HEC Lausanne, University of Lausanne (UNIL) 📖 Topic: Large Language Models for Historical Document Intell...

AI-assisted learning for neural networks. Core idea:  Learning goals:  Students will be able to implement neural network concepts. Research question: How AI-assisted interactive visualisation of neural networks improve student learning performance? Would lear...

1. Executive Summary & Context  

📊 DocEng 2026 Conference Presentation Deck Official 10-slide presentation delivered at ACM DocEng 2026 (28.08.2026). 📥 Download PDF 📥 Download PPTX Slide Deck & Presentation Br...