1 citations · 1 across the 5 of their papers we have counts for
5 papers
LiFT: How to Enable In-Context Learning for Longitudinal Modelling
Iqra Ali, Talia Tseriotou, Mahmud Elahi Akhter +2
Longitudinal NLP tasks such as mental health monitoring and stance evolution require modeling temporally ordered text to track persistence and detect change. Such tasks also suffer…
Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety
Junyu Mao, Anthony Hills, Talia Tseriotou +8
Real-world indicators play an important role in many Natural Language Processing (NLP) applications, such as life events for mental health analysis and risky behaviours for online…
Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering
Feras AlMannaa, Talia Tseriotou, Jenny Chim +1
This study is the first to investigate LLM comprehension capabilities over long-context (LC), clinically relevant medical Question Answering (QA) beyond MCQA. Our comprehensive app…
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…
Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling
Talia Tseriotou, Ryan Sze-Yin Chan, Adam Tsakalidis +4
We present an open-source, pip installable toolkit, Sig-Networks, the first of its kind for longitudinal language modelling. A central focus is the incorporation of Signature-based…