Neil P. Molino

2026

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Auto-ARGUE: LLM-Based Report Generation Evaluation.
William Gantt Walden|Ying Du|Bryan Li|Yanen Li|Marc Mason|Nobuyuki Shimizu|Bo-June Paul Hsu|Gabrielle K. Liu|William Gantt Walden|Ying Du|Orion Weller|Tomek Strzalkowski|ChengXiang Zhai|Yu Hou|Laura Dietz|Ting Liu|Dawn J. Lawrie|Shenzheng Zhang|James Mayfield|Kuansan Wang|John M. Conroy|Xinyang Zhang|Neil P. Molino|Hannah Recknor|Bryan Li|Yanen Li|Bo-June Paul Hsu|Gabrielle K. Liu|ChengXiang Zhai|Yu Hou|Dawn J. Lawrie|Shenzheng Zhang|James Mayfield|Kuansan Wang|Eugene Yang
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026

2024

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Laboratory for Analytic Sciences in TREC 2024 Retrieval Augmented Generation Track.
Yue Wang|John M. Conroy|Neil P. Molino|Julia S. Yang|Mike Green
Proceedings of the Thirty-Third Text REtrieval Conference, TREC 2024, Gaithersburg, MD, USA, November 18-22, 2024

2023

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Fast Extractive Summarization, Abstractive Summarization, and Hybrid Summarization for CrisisFACTS at TREC 2023.
Violet Burbank|John M. Conroy|Sean Lynch|Neil P. Molino|Julia S. Yang
The Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), Gaithersburg, MD, USA, November 14-17, 2023

2022

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Extremely Fast Fine-Tuning for Cross Language Information Retrieval via Generalized Canonical Correlation.
John M. Conroy|Neil P. Molino|Julia S. Yang
Proceedings of the Thirty-First Text REtrieval Conference, TREC 2022, online, November 15-19, 2022