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ORCIDTomas Goldsack
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2020 – today
- 2025
[c8]Tomas Goldsack, Yang Wang, Chenghua Lin, Chung-Chi Chen:
From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls. COLING 2025: 10576-10593- [i10]Tomas Goldsack, Carolina Scarton, Chenghua Lin:
Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond. CoRR abs/2501.05224 (2025) - [i9]Aakanksha, Arash Ahmadian, Marwan Ahmed, Jay Alammar, Milad Alizadeh, Yazeed Alnumay, Sophia Althammer, Arkady Arkhangorodsky, Viraat Aryabumi, Dennis Aumiller, Raphaël Avalos, Zahara Aviv, Sammie Bae, Saurabh Baji, Alexandre Barbet, Max Bartolo, Björn Bebensee, Neeral Beladia, Walter Beller-Morales, Alexandre Bérard, Andrew Berneshawi, Anna Bialas, Phil Blunsom, Matt Bobkin, Adi Bongale, Sam Braun, Maxime Brunet, Samuel Cahyawijaya, David Cairuz, Jon Ander Campos, Cassie Cao, Kris Cao, Roman Castagné, Julián Cendrero, Leila Chan Currie, Yash Chandak, Diane Chang, Giannis Chatziveroglou, Hongyu Chen, Claire Cheng, Alexis Chevalier, Justin T. Chiu, Eugene Choi, Eujeong Choi, Tim Chung, Volkan Cirik, Ana Cismaru, Pierre Clavier, Henry Conklin, Lucas Crawhall-Stein, Devon Crouse, Felipe Cruz-Salinas, Ben Cyrus, Daniel D'souza, Hugo Dalla-Torre, John Dang, William Darling, Omar Darwiche Domingues, Saurabh Dash, Antoine Debugne, Théo Dehaze, Shaan Desai, Joan Devassy, Rishit Dholakia, Kyle Duffy, Ali Edalati, Ace Eldeib, Abdullah Elkady, Sarah Elsharkawy, Irem Ergün, Beyza Ermis, Marzieh Fadaee, Boyu Fan, Lucas Fayoux, Yannis Flet-Berliac, Nick Frosst, Matthias Gallé, Wojciech Galuba, Utsav Garg, Matthieu Geist, Mohammad Gheshlaghi Azar, Ellen Gilsenan-McMahon, Seraphina Goldfarb-Tarrant, Tomas Goldsack, Aidan N. Gomez, Victor Machado Gonzaga, Nithya Govindarajan, Manoj Govindassamy, Nathan Grinsztajn, Nikolas Gritsch, Patrick Gu, Shangmin Guo, Kilian Haefeli, Rod Hajjar, Tim Hawes, Jingyi He, Sebastian Hofstätter, Sungjin Hong:
Command A: An Enterprise-Ready Large Language Model. CoRR abs/2504.00698 (2025) - 2024
- [c7]Zhihao Zhang, Tomas Goldsack, Carolina Scarton, Chenghua Lin:
ATLAS: Improving Lay Summarisation with Attribute-based Control. ACL (Short Papers) 2024: 337-345 - [c6]Tomas Goldsack, Carolina Scarton, Matthew Shardlow, Chenghua Lin:
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. BioNLP@ACL 2024: 122-131 - [i8]Zhihao Zhang, Tomas Goldsack, Carolina Scarton, Chenghua Lin:
ATLAS: Improving Lay Summarisation with Attribute-based Control. CoRR abs/2406.05625 (2024) - [i7]Tomas Goldsack, Carolina Scarton, Matthew Shardlow, Chenghua Lin:
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. CoRR abs/2408.08566 (2024) - [i6]Tomas Goldsack, Yang Wang, Chenghua Lin, Chung-Chi Chen:
From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls. CoRR abs/2410.01039 (2024) - [i5]Yuyang Cheng, Xingwei Qu, Tomas Goldsack, Chenghua Lin, Chung-Chi Chen:
Observing Micromotives and Macrobehavior of Large Language Models. CoRR abs/2412.10428 (2024) - 2023
- [c5]Tomas Goldsack
, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin:
BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles. BioNLP@ACL 2023: 468-477 - [c4]Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton:
Domain-Driven and Discourse-Guided Scientific Summarisation. ECIR (1) 2023: 361-376 - [c3]Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin:
Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. EMNLP 2023: 606-618 - [c2]Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin:
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. EMNLP 2023: 8016-8032 - [i4]Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin:
Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles. CoRR abs/2309.17332 (2023) - [i3]Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin:
Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. CoRR abs/2310.15684 (2023) - [i2]Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin:
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. CoRR abs/2310.15702 (2023) - 2022
- [c1]Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton:
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. EMNLP 2022: 10589-10604 - [i1]Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton:
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. CoRR abs/2210.09932 (2022)
Coauthor Index
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