Papers by Gil Pasternak
Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark (2025.emnlp-main)
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Jianyou Wang, Weili Cao, Longtian Bao, Youze Zheng, Gil Pasternak, Kaicheng Wang, Xiaoyue Wang, Ramamohan Paturi, Leon Bergen
| Challenge: | Systematic reviews should take into account the quality of available evidence, placing more weight on studies that use a valid methodology. |
| Approach: | They propose to use a risk-of-bias framework to assess the methodological strength of biomedical papers by combining expert reviewers' judgments with research paper sentences. |
| Outcome: | The proposed system measures the methodological strength of biomedical papers using the risk-of-bias framework used for systematic reviews. |
GLiNER2: Schema-Driven Multi-Task Learning for Structured Information Extraction (2025.emnlp-demos)
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| Challenge: | Existing solutions for information extraction (IE) require specialized models for different tasks or require expensive large language models. |
| Approach: | They propose a framework that enhances the original GLiNER architecture to support named entity recognition, text classification, and hierarchical structured data extraction within a single efficient model. |
| Outcome: | The proposed framework improves performance across diverse IE tasks and accessibility compared to LLM-based alternatives. |