Papers by Mark Gahegan
SciTrue: Evidence-Grounded Claim Verification in Science (2026.eacl-demo)
Copied to clipboard
| Challenge: | Existing systems often exhibit unverifiable attributions, shallow evidence mapping, and hallucinated citations. |
| Approach: | They propose a claim verification system that provides source-level accountability and evidence traceability. |
| Outcome: | SciTrue outperforms RAG-based baselines in summary traceability, attribution accuracy, and context alignment in a human evaluation of 300 attributions. |
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking (2023.eacl-main)
Copied to clipboard
Neset Tan, Trung Nguyen, Josh Bensemann, Alex Peng, Qiming Bao, Yang Chen, Mark Gahegan, Michael Witbrock
| Challenge: | Existing scientific fact-checking datasets are limited due to expertise bottleneck . multi2Claim pipeline is a tool to convert multiple-choice questions into fact- checking data . |
| Approach: | They propose a pipeline for automatically converting multiple-choice questions into fact-checking data . they generate two large-scale datasets for scientific-fact-checker tasks . success at this task can help the reader understand scientific topics and promote science . |
| Outcome: | The proposed pipeline improves performance on two large-scale scientific fact-checking datasets. |