Author

Teo Sušnjak

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Review Open access Oct 2026

Evaluating prompting strategies and large language models in systematic literature review screening: Relevance and task-stage classification.

This study quantifies how prompting strategies interact with large language models (LLMs) to automate the screening stage of systematic literature reviews (SLRs). We evaluate six LLMs (GPT-4o, GPT-4o-mini, DeepSeek-Chat-V3, Gemini-2.5-Flash, Claude-3.5-Haiku, and Llama-4-Maverick) under five prompt types (zero-shot, fe...

Bing-Lan Han, A. Mathrani, Vajisha U. Wanniarachchi et al. · Research Synthesis Methods · 0 citations

#small language model Open access Sep 2026

Evidence-domain translation in the Lyme disease controversy over persistent post-treatment symptoms

The findings show a recurring distinction between mechanism-level evidence and the evidence needed to establish patient-level causation or durable clinical benefit, and map how different forms of evidence are distributed and translated across the PTLDS–CLD literature.

Teo Sušnjak, Lorenz Brehme, Kunal Garg et al. · Frontiers in Cellular and In... · 0 citations

#artificial intelligence Preprint Aug 2026

Resource Constraints and Performance in Agentic AI Systems

It is shown that progress toward more autonomous AI should be evaluated through verified task completion, observed resource use and records linking each result to the execution that produced it, and why agent-system evaluation should connect capability and resource measurements to attempt-level execution and scoring pr...

Amaz Salman, M. Halgamuge, Teo Sušnjak · 0 citations