Get started
Author

Mark Stevenson

Observed name: Stevenson, Mark
Observed institution: University of Sheffield
ORCID: 0000-0002-9483-6006
Observed ORCID: 0000-0002-9483-6006
OpenAlex ID: A5101566333
Computer-assisted screening in systematic evidence synthesis requires robust and well-evaluated stopping criteria
2024 · Max Callaghan, Finn Müller-Hansen, et al. · Systematic Reviews · 23
PDF
Large language models for simplifying radiology reports: a systematic review and meta-analysis of patient, public, and clinician evaluations
2026 · Samer Alabed, Abigail Anderson, et al. · The Lancet Digital Health · 21
Hyperlocal Home Location Identification of Twitter Profiles
2017 · Adam Poulston, Mark Stevenson, et al. · ACM Conference on Hypertext and Social Media (HT) · 21
Stopping Methods for Technology-assisted Reviews Based on Point Processes
2023 · Mark Stevenson, Reem Bin-Hezam · ACM Transactions on Information Systems · 12
PDF
Stopping Criteria for Technology Assisted Reviews based on Counting Processes
2021 · Alison Sneyd, Mark Stevenson · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 10
Predicting retracted research: a dataset and machine learning approaches
2025 · Aaron H. A. Fletcher, Mark Stevenson · Research Integrity and Peer Review · 9
PDF
Identifying Automatically Generated Headlines using Transformers
2021 · Antonis Maronikolakis, Hinrich Schütze, et al. · Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda (NLP4IF) · 7
PDF
Ultracam camera control and data acquisition system
2002 · Steven M. Beard, Andrew J. A. Vick, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 7
The University of Sheffield at CheckThat! 2020: Claim Identification and Verification on Twitter.
2020 · Thomas M. McDonald, Ziqing Dong, et al. · CLEF (Working Notes) · 4
RLStop: A Reinforcement Learning Stopping Method for TAR
2024 · Reem Bin-Hezam, Mark Stevenson · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 3
PDF
UBC_UOS-TYPED: Regression for typed-similarity
2013 · Eneko Agirre, Νικόλαος Αλέτρας, et al. · 3
The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers
2025 · Xingyu Deng, Xi Wang, et al. · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) · 2
PDF
Transformers Are Better Than Humans at Identifying Generated Text.
2020 · Antonis Maronikolakis, Mark Stevenson, et al. · arXiv (Cornell University) · 2
+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking
2025 · Xingyu Deng, Xi Wang, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 1
PDF
A Generalised and Adaptable Reinforcement Learning Stopping Method
2025 · Reem Bin-Hezam, Mark Stevenson · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1
Evaluating and Improving Evidence-Grounded Fact-Checking in LLMs via Multi-Round Evidence Ablation
2026 · Deng, Xingyu, Cao, Mingzi, et al. · arXiv (Cornell University)
PDF
Decision-Theoretic Stopping Rules for Document Screening
2026 · Aaron H.A. Fletcher, Mark Stevenson · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Confidence-Based Stopping Methods for Systematic Reviews
2026 · Aaron H.A. Fletcher, Mark Stevenson · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Rank-ICL: Ranking-based In-context Learning for Search Result Explanation
2026 · Arif Laksito, Aali Alqarni, et al. · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR)
Can NLP Models Detect When One Publication Outweighs Twenty? Predicting Systematic Review Conclusion Changes
2026 · Association for Computational Linguistics 2026, Alharbi, Ebrahim, et al. · Underline Science Inc.
Sheffield NLP at FinCausal 2026: A Comparative Study of RAG Approaches and Fine-Tuning for Causal Q&A in Financial Texts
2026 · Aali Abdullah Alqarni, Mark Stevenson, et al. · Language Resources and Evaluation Conference (LREC)
PDF
Can NLP Models Detect When One Publication Outweighs Twenty? Predicting Systematic Review Conclusion Changes
2026 · Ebrahim Alharbi, Mark Stevenson
PDF
Large language models to improve understanding of radiology reports: a systematic review and meta-analysis of patient, public and clinician evaluations
2026 · Samer Alabed, Abigail Anderson, et al. · The Royal College of Radiologists Open
Document Set Expansion with Positive-Unlabeled Learning Using Intractable Density Estimation
2024 · Haiyang Zhang, Qiuyi Chen, et al. · Language Resources and Evaluation Conference (LREC)
PDF
Works count: 52
Citation count: 127
H-index: 7
I10-index: 5
Year
Topic
Type