collaborators

6 papers

cs.AI2026

Constructing Executable Analytical Knowledge Representations for Meta-Analysis Synthesis Using an Agentic Harness

Lingbo Li, Anuradha Mathrani, Teo Susnjak

Meta-analysis synthesis highlights a fundamental challenge in knowledge-based scientific analysis: structured evidence does not by itself represent the analytical knowledge require…

cs.CY2025

Stabilising Learner Trajectories: A Doubly Robust Evaluation of AI-Guided Student Support using Activity Theory

Teo Susnjak, Khalid Bakhshov, Anuradha Mathrani

While predictive models are increasingly common in higher education, causal evidence regarding the interventions they trigger remains rare. This study evaluates an AI-guided studen…

cs.AI2025

Automated Risk-of-Bias Assessment of Randomized Controlled Trials: A First Look at a GEPA-trained Programmatic Prompting Framework

Lingbo Li, Anuradha Mathrani, Teo Susnjak

Assessing risk of bias (RoB) in randomized controlled trials is essential for trustworthy evidence synthesis, but the process is resource-intensive and prone to variability across…

cs.CL2025

Evaluating Prompting Strategies and Large Language Models in Systematic Literature Review Screening: Relevance and Task-Stage Classification

Binglan Han, Anuradha Mathrani, Teo Susnjak

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 L…

cs.CL2025

What Level of Automation is "Good Enough"? A Benchmark of Large Language Models for Meta-Analysis Data Extraction

Lingbo Li, Anuradha Mathrani, Teo Susnjak

Automating data extraction from full-text randomised controlled trials (RCTs) for meta-analysis remains a significant challenge. This study evaluates the practical performance of t…

cs.AI2025

Transforming Evidence Synthesis: A Systematic Review of the Evolution of Automated Meta-Analysis in the Age of AI

Lingbo Li, Anuradha Mathrani, Teo Susnjak

Exponential growth in scientific literature has heightened the demand for efficient evidence-based synthesis, driving the rise of the field of Automated Meta-analysis (AMA) powered…