4 citations · 19 across the 26 of their papers we have counts for
6 papers · 1 filter
Large language models for mental health
Andreas Triantafyllopoulos, Yannik Terhorst, Iosif Tsangko +10
Digital technologies have long been explored as a complement to standard procedure in mental health research and practice, ranging from the management of electronic health records…
TempoFormer: A Transformer for Temporally-aware Representations in Change Detection
Talia Tseriotou, Adam Tsakalidis, Maria Liakata
Dynamic representation learning plays a pivotal role in understanding the evolution of linguistic content over time. On this front both context and time dynamics as well as their i…
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation
Dimitris Gkoumas, Maria Liakata
Scientific language models drive research innovation but require extensive fine-tuning on large datasets. This work enhances such models by improving their inference and evaluation…
Generating Zero-shot Abstractive Explanations for Rumour Verification
Iman Munire Bilal, Preslav Nakov, Rob Procter +1
The task of rumour verification in social media concerns assessing the veracity of a claim on the basis of conversation threads that result from it. While previous work has focused…
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media
Jiayu Song, Jenny Chim, Adam Tsakalidis +3
We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines,…
Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification
John Dougrez-Lewis, Mahmud Elahi Akhter, Federico Ruggeri +3
Although LLMs have shown great performance on Mathematics and Coding related reasoning tasks, the reasoning capabilities of LLMs regarding other forms of reasoning are still an ope…