1 citations · 1 across the 4 of their papers we have counts for
5 papers
Evaluating LLM-Based Grant Proposal Review via Structured Perturbations
William Thorne, Joseph James, Yang Wang +2
As AI-assisted grant proposals outpace manual review capacity in a kind of ``Malthusian trap'' for the research ecosystem, this paper investigates the capabilities and limitations…
Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond
Tomas Goldsack, Carolina Scarton, Chenghua Lin
In this work, we explore the application of Large Language Models to zero-shot Lay Summarisation. We propose a novel two-stage framework for Lay Summarisation based on real-life pr…
Observing Micromotives and Macrobehavior of Large Language Models
Yuyang Cheng, Xingwei Qu, Tomas Goldsack +2
Thomas C. Schelling, awarded the 2005 Nobel Memorial Prize in Economic Sciences, pointed out that ``individuals decisions (micromotives), while often personal and localized, can le…
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles
Tomas Goldsack, Carolina Scarton, Matthew Shardlow +1
This paper presents the setup and results of the second edition of the BioLaySumm shared task on the Lay Summarisation of Biomedical Research Articles, hosted at the BioNLP Worksho…
ATLAS: Improving Lay Summarisation with Attribute-based Control
Zhihao Zhang, Tomas Goldsack, Carolina Scarton +1
Lay summarisation aims to produce summaries of scientific articles that are comprehensible to non-expert audiences. However, previous work assumes a one-size-fits-all approach, whe…