Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. - Tomas Goldsack; Zhihao Zhang 004; Chenghua Lin; Carolina Scarton (EMNLP, 2022)

BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles. - Tomas Goldsack; Zheheng Luo; Qianqian Xie; Carolina Scarton; Matthew Shardlow; Sophia Ananiadou; Chenghua Lin (BioNLP@ACL, 2023)

Domain-Driven and Discourse-Guided Scientific Summarisation. - Tomas Goldsack; Zhihao Zhang 004; Chenghua Lin; Carolina Scarton (ECIR (1), 2023)

Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. - Tomas Goldsack; Zhihao Zhang 004; Chen Tang; Carolina Scarton; Chenghua Lin (EMNLP, 2023)

Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. - Chen Tang; Shun Wang; Tomas Goldsack; Chenghua Lin (EMNLP, 2023)

Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles. - Tomas Goldsack; Zheheng Luo; Qianqian Xie; Carolina Scarton; Matthew Shardlow; Sophia Ananiadou; Chenghua Lin (CoRR, 2023)

ATLAS: Improving Lay Summarisation with Attribute-based Control. - Zhihao Zhang 004; Tomas Goldsack; Carolina Scarton; Chenghua Lin (ACL (Short Papers), 2024)

Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. - Tomas Goldsack; Carolina Scarton; Matthew Shardlow; Chenghua Lin (BioNLP@ACL, 2024)

Observing Micromotives and Macrobehavior of Large Language Models. - Yuyang Cheng; Xingwei Qu; Tomas Goldsack; Chenghua Lin; Chung-Chi Chen 001 (CoRR, 2024)

From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls. - Tomas Goldsack; Yang Wang; Chenghua Lin; Chung-Chi Chen 001 (COLING, 2025)

Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond. - Tomas Goldsack; Carolina Scarton; Chenghua Lin (CoRR, 2025)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)