Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Jiayu, Chim, Jenny, Tsakalidis, Adam, Ive, Julia, Atzil-Slonim, Dana, Liakata, Maria
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Temporal reasoning for timeline summarisation in social media
by: Song, Jiayu, et al.
Published: (2024)

TempoFormer: A Transformer for Temporally-aware Representations in Change Detection
by: Tseriotou, Talia, et al.
Published: (2024)

Enhancing Depression Detection via Question-wise Modality Fusion
by: Mandal, Aishik, et al.
Published: (2025)

Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering
by: AlMannaa, Feras, et al.
Published: (2025)

Tailored Emotional LLM-Supporter: Enhancing Cultural Sensitivity
by: Liu, Chen Cecilia, et al.
Published: (2025)

Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety
by: Mao, Junyu, et al.
Published: (2025)

Harnessing Large Language Models for Precision Querying and Retrieval-Augmented Knowledge Extraction in Clinical Data Science
by: Jan, Juan Jose Rubio, et al.
Published: (2026)

Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling
by: Tseriotou, Talia, et al.
Published: (2023)

Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation
by: Gkoumas, Dimitris, et al.
Published: (2024)

Hesitation is defeat? Connecting Linguistic and Predictive Uncertainty
by: Manzo, Gianluca, et al.
Published: (2025)

LLM Assistance for Pediatric Depression
by: Ignashina, Mariia, et al.
Published: (2025)

LangVAE and LangSpace: Building and Probing for Language Model VAEs
by: Carvalho, Danilo S., et al.
Published: (2025)

Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacks
by: Ignashina, Mariia, et al.
Published: (2024)

Large language models for mental health
by: Triantafyllopoulos, Andreas, et al.
Published: (2024)

Deep learning and abstractive summarisation for radiological reports: an empirical study for adapting the PEGASUS models' family with scarce data
by: Benzoni, Claudio, et al.
Published: (2025)

The Alignment Bottleneck in Decomposition-Based Claim Verification
by: Akhter, Mahmud Elahi, et al.
Published: (2026)

Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models
by: Tan, Xingwei, et al.
Published: (2026)

Building a Silver-Standard Dataset from NICE Guidelines for Clinical LLMs
by: Ding, Qing, et al.
Published: (2025)

Context-Emotion Aware Therapeutic Dialogue Generation: A Multi-component Reinforcement Learning Approach to Language Models for Mental Health Support
by: Zhang, Eric Hua Qing, et al.
Published: (2025)

Sentence Embeddings as an intermediate target in end-to-end summarisation
by: Zembrzuski, Maciej, et al.
Published: (2025)

VeriGRAG: Enhancing LLM-Based Verilog Code Generation with Structure-Aware Soft Prompts
by: Zhao, Jiayu, et al.
Published: (2025)

Temporal Label Hierachical Network for Compound Emotion Recognition
by: Li, Sunan, et al.
Published: (2024)

Detecting value-expressive text posts in Russian social media
by: Milkova, Maria, et al.
Published: (2023)

Development and Evaluation of HopeBot: an LLM-based chatbot for structured and interactive PHQ-9 depression screening
by: Guo, Zhijun, et al.
Published: (2025)

Do LLMs Benefit From Their Own Words?
by: Huang, Jenny Y., et al.
Published: (2026)

Responsible Evaluation of AI for Mental Health
by: Arnaout, Hiba, et al.
Published: (2026)

MIMIC-RD: Can LLMs differentially diagnose rare diseases in real-world clinical settings?
by: AlDin, Zilal Eiz, et al.
Published: (2025)

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification
by: Kumar, Adarsh, et al.
Published: (2025)

Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media
by: Kikkisetti, Dhanush, et al.
Published: (2024)

Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification
by: Dougrez-Lewis, John, et al.
Published: (2024)

Forging GEMs: Advancing Greek NLP through Quality-Based Corpus Curation
by: Apostolopoulou, Alexandra, et al.
Published: (2025)

Argumentation for Explainable and Globally Contestable Decision Support with LLMs
by: Dejl, Adam, et al.
Published: (2026)

Developing and Evaluating an AI-Assisted Prediction Model for Unplanned Intensive Care Admissions following Elective Neurosurgery using Natural Language Processing within an Electronic Healthcare Record System
by: Ive, Julia, et al.
Published: (2025)

Extractive text summarisation of Privacy Policy documents using machine learning approaches
by: Choi, Chanwoo
Published: (2024)

Correcting misinformation on social media with a large language model
by: Zhou, Xinyi, et al.
Published: (2024)

A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection
by: Ive, Julia, et al.
Published: (2024)

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs
by: Czakó, Patrik, et al.
Published: (2025)

An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars
by: Chandra, Rohitash, et al.
Published: (2026)

Generating Zero-shot Abstractive Explanations for Rumour Verification
by: Bilal, Iman Munire, et al.
Published: (2024)

Synthesis of timeline-based planning strategies avoiding determinization
by: Della Monica, Dario, et al.
Published: (2025)