Papers with evidence synthesis
AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis (2026.acl-demo)
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Massimiliano Pronesti, Angelo Miculescu, Mohsin Kapdi, Paul Flanagan, Oisín Redmond, Joao H Bettencourt-Silva, Gurdeep Singh Mannu, Spiros Denaxas, Rui Providencia, Anya Belz, Yufang Hou
| Challenge: | Existing systems that generate publication-ready forest plots from biomedical papers are fragmented and time-consuming. |
| Approach: | They propose a system that generates publication-ready forest plots directly from biomedical papers . autoforest automatically suggests ICO elements, extracts outcome data and performs statistical synthesis . authors demonstrate how the system can accelerate evidence synthesis and lower the barrier to conducting meta-analyses . |
| Outcome: | The proposed system accelerates evidence synthesis and lowers the barrier to meta-analyses. |
GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models (2026.acl-long)
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| Challenge: | Existing evaluation paradigms for geographic reasoning are outcome-centric and focus on label matching, leaving the underlying linguistic reasoning chains as unexamined black boxes. |
| Approach: | They propose a dynamic, human-preference-based evaluation framework for benchmarking open-world geographic reasoning. |
| Outcome: | The proposed framework reframes evaluation as a pairwise reasoning alignment task on in-the-wild images, where human judges compare model-generated explanations based on reasoning quality, evidence synthesis, and plausibility. |
Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review (2025.findings-acl)
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| Challenge: | Evidence-based medicine (EBM) is at the forefront of modern healthcare, emphasizing the use of the best available scientific evidence to guide clinical decisions. |
| Approach: | They propose to investigate the use of Natural Language Processing (NLP) techniques to identify, appraise, synthesize, apply, and disseminate evidence in EBM. |
| Outcome: | The proposed methods support the five fundamental steps of EBM—Ask, Acquire, Appraise, Apply, and Assess. |