Xingyi Song

Orcid: 0000-0002-4188-6974

According to our database1, Xingyi Song authored at least 48 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2025
Cross-modal augmentation for few-shot multimodal fake news detection.
Eng. Appl. Artif. Intell., 2025

2024
Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media.
CoRR, 2024

Confidence Regulation Neurons in Language Models.
CoRR, 2024

Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling.
CoRR, 2024

Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows.
Proceedings of the Ninth Conference on Machine Translation, 2024

SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness.
Proceedings of the Advances in Information Retrieval, 2024

Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Examining Temporalities on Stance Detection towards COVID-19 Vaccination.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE).
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

2023
Similarity-Aware Multimodal Prompt Learning for fake news detection.
Inf. Sci., November, 2023

An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining.
SN Comput. Sci., 2023

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.
CoRR, 2023

Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation.
CoRR, 2023

Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning.
CoRR, 2023

A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation.
CoRR, 2023

Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification.
CoRR, 2023

SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Classifying COVID-19 Vaccine Narratives.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Don't waste a single annotation: improving single-label classifiers through soft labels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GATE Teamware 2: An open-source tool for collaborative document classification annotation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

2022
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation.
Proceedings of the Social Informatics - 13th International Conference, 2022

2021
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic.
CoRR, 2021

2020
Using ontologies to map between research data and policymakers' presumptions: the experience of the KNOWMAK project.
Scientometrics, 2020

Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus.
CoRR, 2020

Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

RP-DNN: A Tweet Level Propagation Context Based Deep Neural Networks for Early Rumor Detection in Social Media.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Comparing Topic-Aware Neural Networks for Bias Detection of News.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Online Abuse of UK MPs from 2015 to 2019: Working Paper.
CoRR, 2019

Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

2018
CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.
BMC Medical Informatics Decis. Mak., 2018

Bio-YODIE: A Named Entity Linking System for Biomedical Text.
CoRR, 2018

A Deep Neural Network Sentence Level Classification Method with Context Information.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation.
Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017

2016
Training machine translation for human acceptability.
PhD thesis, 2016

Sheffield Systems for the English-Romanian WMT Translation Task.
Proceedings of the First Conference on Machine Translation, 2016

2014
Data selection for discriminative training in statistical machine translation.
Proceedings of the 17th Annual conference of the European Association for Machine Translation, 2014

2013
BLEU Deconstructed: Designing a Better MT Evaluation Metric.
Int. J. Comput. Linguistics Appl., 2013

2011
Regression and Ranking based Optimisation for Sentence Level MT Evaluation.
Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011


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