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Massimiliano Pronesti

Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies
2025 · Massimiliano Pronesti, Joao H Bettencourt-Silva, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning
2025 · Massimiliano Pronesti, Michela Lorandi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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G-D3 AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis
2026 · Association for Computational Linguistics 2026, Belz, Anya, et al. · Underline Science Inc.
Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning
2026 · Association for Computational Linguistics 2026, Belz, Anya, et al. · Underline Science Inc.
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
2026 · Association for Computational Linguistics 2026, Barry, James, et al. · Underline Science Inc.
AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis
2026 · Pronesti, Massimiliano, Miculescu, Angelo, et al. · arXiv (Cornell University)
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Secure Change-Point Detection for Time Series under Homomorphic Encryption
2026 · Federico Mazzone, Giorgio Micali, et al. · Proceedings on Privacy Enhancing Technologies
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Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning
2026 · Pronesti, Massimiliano, Belz, Anya, et al. · arXiv (Cornell University)
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FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
2026 · Carnerero-Cano, Javier, Pronesti, Massimiliano, et al. · arXiv (Cornell University)
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Secure Change-Point Detection for Time Series under Homomorphic Encryption
2026 · Mazzone, Federico, Micali, Giorgio, et al. · arXiv (Cornell University)
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FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
2026 · Javier Carnerero-Cano, Massimiliano Pronesti, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning
2026 · Massimiliano Pronesti, Anya Belz, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis
2026 · Massimiliano Pronesti, Angelo Miculescu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies
2025 · Pronesti, Massimiliano, Bettencourt-Silva, Joao, et al. · arXiv (Cornell University)
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Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups
2024 · Simon Mille, Massimiliano Pronesti, et al.
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Works count: 16
Citation count: 2
H-index: 1
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