Xingyi Song

74 papers A* 4A 3B 2C 1Misc 3Journal 37Unranked 21
YearRankTypeTitle / Venue / Authors
2026 A* conf
ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation.
AAAI
Siqi Sun, Ben Peng Wu, Mali Jin, Peizhen Bai, Hanpei Zhang, Xingyi Song
2026 J jnl
ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation.
CoRR
Siqi Sun, Ben Peng Wu, Mali Jin, Peizhen Bai, Hanpei Zhang, Xingyi Song
2025 A conf
A Dataset for Analysing News Framing in Chinese Media.
ICWSM
Owen Cook, Yida Mu, Xinye Yang, Xingyi Song, Kalina Bontcheva
2025 J jnl
A Dataset for Analysing News Framing in Chinese Media.
CoRR
Owen Cook, Yida Mu, Xinye Yang, Xingyi Song, Kalina Bontcheva
2025 J jnl
Cross-modal augmentation for few-shot multimodal fake news detection.
Eng. Appl. Artif. Intell.
Ye Jiang, Taihang Wang, Xiaoman Xu, Yimin Wang, Xingyi Song, Diana Maynard
2025 — conf
Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media.
NAACL (Findings)
Owen Cook, Charlie Grimshaw, Ben Peng Wu, Sophie Dillon, Jack Hicks, Luke Jones, Thomas Smith, Matyas Szert, Xingyi Song
2025 — conf
Efficient Annotator Reliability Assessment with EffiARA.
ACL (3)
Owen Cook, Jake Vasilakes, Ian Roberts, Xingyi Song
2025 J jnl
Efficient Annotator Reliability Assessment with EffiARA.
CoRR
Owen Cook, Jake Vasilakes, Ian Roberts, Xingyi Song
2024 J jnl
Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling.
CoRR
Yida Mu, Peizhen Bai, Kalina Bontcheva, Xingyi Song
2024 A* conf
Confidence Regulation Neurons in Language Models.
NeurIPS
Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
2024 J jnl
Confidence Regulation Neurons in Language Models.
CoRR
Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
2024 J jnl
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection.
CoRR
Ye Jiang, Taihang Wang, Xiaoman Xu, Yimin Wang, Xingyi Song, Diana Maynard
2024 J jnl
Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media.
CoRR
Owen Cook, Charlie Grimshaw, Ben Wu, Sophie Dillon, Jack Hicks, Luke Jones, Thomas Smith, Matyas Szert, Xingyi Song
2024 A* conf
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.
EMNLP
Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras
2024 J jnl
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.
CoRR
Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras
2024 — conf
Examining Temporalities on Stance Detection towards COVID-19 Vaccination.
LREC/COLING
Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song
2024 — conf
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.
LREC/COLING
Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras
2024 — conf
Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence.
LREC/COLING
Anthony James Hughes, Xingyi Song
2024 J jnl
Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence.
CoRR
Anthony James Hughes, Xingyi Song
2024 — conf
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling.
LREC/COLING
Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song
2024 J jnl
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling.
CoRR
Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song
2024 — conf
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.
LREC/COLING
Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2024 — conf
Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows.
WMT
Xinye Yang, Yida Mu, Kalina Bontcheva, Xingyi Song
2024 — conf
Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE).
CLEF (Working Notes)
Piotr Przybyla, Ben Wu, Alexander V. Shvets, Yida Mu, Kim Cheng Sheang, Xingyi Song, Horacio Saggion
2024 — conf
Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness.
CLEF (2)
Alberto Barrón-Cedeño, Firoj Alam, Julia Maria Struß, Preslav Nakov, Tanmoy Chakraborty, Tamer Elsayed, Piotr Przybyla, Tommaso Caselli, Giovanni Da San Martino, Fatima Haouari, Maram Hasanain, Chengkai Li, Jakub Piskorski, Federico Ruggeri, Xingyi Song, Reem Suwaileh
2024 — ed.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), EAMT 2024, Sheffield, UK, June 24-27, 2024
EAMT (1)
Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Rachel Bawden, Víctor M. Sánchez-Cartagena, Patrick Cadwell, Ekaterina Lapshinova-Koltunski, Vera Cabarrão, Konstantinos Chatzitheodorou, Mary Nurminen, Diptesh Kanojia, Helena Moniz
2024 — ed.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), EAMT 2024, Sheffield, UK, June 24-27, 2024
EAMT (2)
Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Mikel Forcada, Helena L. Moniz
2024 — conf
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification.
SemEval@NAACL
Meredith Gibbons, Maggie Mi, Xingyi Song, Aline Villavicencio
2024 — conf
SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes.
SemEval@NAACL
Charlie Grimshaw, Kalina Bontcheva, Xingyi Song
2024 — conf
The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness.
ECIR (5)
Alberto Barrón-Cedeño, Firoj Alam, Tanmoy Chakraborty, Tamer Elsayed, Preslav Nakov, Piotr Przybyla, Julia Maria Struß, Fatima Haouari, Maram Hasanain, Federico Ruggeri, Xingyi Song, Reem Suwaileh
2023 J jnl
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation.
CoRR
Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023 J jnl
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining.
SN Comput. Sci.
Ziqi Zhang, Xingyi Song
2023 J jnl
Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation.
CoRR
Ambrose Robinson, William Thorne, Ben Wu, Abdullah Pandor, Munira Essat, Mark Stevenson, Xingyi Song
2023 Misc conf
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic.
RANLP
Ye Jiang, Xingyi Song, Carolina Scarton, Iknoor Singh, Ahmet Aker, Kalina Bontcheva
2023 J jnl
Classification-Aware Neural Topic Model Combined With Interpretable Analysis - For Conflict Classification.
CoRR
Tianyu Liang, Yida Mu, Soonho Kim, Darline Larissa Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song
2023 Misc conf
Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification.
RANLP
Tianyu Liang, Yida Mu, Soonho Kim, Darline Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song
2023 Misc conf
Classifying COVID-19 Vaccine Narratives.
RANLP
Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva
2023 J jnl
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.
CoRR
Olesya Razuvayevskaya, Ben Wu, João Augusto Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023 J jnl
Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels.
CoRR
Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023 — conf
Don't waste a single annotation: improving single-label classifiers through soft labels.
EMNLP (Findings)
Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023 J jnl
Examining Temporalities on Stance Detection Towards COVID-19 Vaccination.
CoRR
Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song
2023 J jnl
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.
CoRR
Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras
2023 J jnl
Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning.
CoRR
Iknoor Singh, Carolina Scarton, Xingyi Song, Kalina Bontcheva
2023 — conf
GATE Teamware 2: An open-source tool for collaborative document classification annotation.
EACL (System Demonstrations)
David Wilby, Twin Karmakharm, Ian Roberts, Xingyi Song, Kalina Bontcheva
2023 J jnl
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.
CoRR
Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023 — conf
SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification.
SemEval@ACL
Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023 J jnl
Similarity-Aware Multimodal Prompt Learning for Fake News Detection.
CoRR
Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard
2023 J jnl
Similarity-Aware Multimodal Prompt Learning for fake news detection.
Inf. Sci.
Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard
2023 J jnl
Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification.
CoRR
Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023 J jnl
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter.
CoRR
Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023 A conf
VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter.
ICWSM
Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2022 J jnl
Classifying COVID-19 vaccine narratives.
CoRR
Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva
2022 — conf
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation.
SocInfo
Iknoor Singh, Kalina Bontcheva, Xingyi Song, Carolina Scarton
2022 J jnl
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation.
CoRR
Iknoor Singh, Kalina Bontcheva, Xingyi Song, Carolina Scarton
2021 J jnl
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining.
CoRR
Ziqi Zhang, Xingyi Song
2021 J jnl
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic.
CoRR
Ye Jiang, Xingyi Song, Carolina Scarton, Ahmet Aker, Kalina Bontcheva
2020 J jnl
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus.
CoRR
Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard, Kalina Bontcheva
2020 A conf
Comparing Topic-Aware Neural Networks for Bias Detection of News.
ECAI
Ye Jiang, Yimin Wang, Xingyi Song, Diana Maynard
2020 B conf
RP-DNN: A Tweet Level Propagation Context Based Deep Neural Networks for Early Rumor Detection in Social Media.
LREC
Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna
2020 J jnl
RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media.
CoRR
Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna
2020 B conf
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour.
LREC
Xingyi Song, Johnny Downs, Sumithra Velupillai, Rachel Holden, Maxim Kikoler, Kalina Bontcheva, Rina Dutta, Angus Roberts
2020 J jnl
Using ontologies to map between research data and policymakers' presumptions: the experience of the KNOWMAK project.
Scientometrics
Diana Maynard, Benedetto Lepori, Johann Petrak, Xingyi Song, Philippe Larédo
2019 J jnl
Online Abuse of UK MPs from 2015 to 2019: Working Paper.
CoRR
Mark A. Greenwood, Mehmet E. Bakir, Genevieve Gorrell, Xingyi Song, Ian Roberts, Kalina Bontcheva
2019 — conf
Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network.
SemEval@NAACL-HLT
Ye Jiang, Johann Petrak, Xingyi Song, Kalina Bontcheva, Diana Maynard
2018 A* conf
A Deep Neural Network Sentence Level Classification Method with Context Information.
EMNLP
Xingyi Song, Johann Petrak, Angus Roberts
2018 J jnl
A Deep Neural Network Sentence Level Classification Method with Context Information.
CoRR
Xingyi Song, Johann Petrak, Angus Roberts
2018 J jnl
Bio-YODIE: A Named Entity Linking System for Biomedical Text.
CoRR
Genevieve Gorrell, Xingyi Song, Angus Roberts
2018 J jnl
CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.
BMC Medical Informatics Decis. Mak.
Richard G. Jackson, Ismail Emre Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts, Xingyi Song, Honghan Wu, Asha Agrawal, Kenneth Lui, Tudor Groza, Damian Lewsley, Doug Northwood, Amos Folarin, Robert Stewart, Richard J. B. Dobson
2017 — conf
Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation.
NLPmJ@EMNLP
Ye Jiang, Xingyi Song, Jackie Harrison, Shaun Quegan, Diana Maynard
2016 — conf
Sheffield Systems for the English-Romanian WMT Translation Task.
WMT
Frédéric Blain, Xingyi Song, Lucia Specia
2016 — —
Training machine translation for human acceptability.
Xingyi Song
2014 C conf
Data selection for discriminative training in statistical machine translation.
EAMT
Xingyi Song, Lucia Specia, Trevor Cohn
2013 J jnl
BLEU Deconstructed: Designing a Better MT Evaluation Metric.
Int. J. Comput. Linguistics Appl.
Xingyi Song, Trevor Cohn, Lucia Specia
2011 — conf
Regression and Ranking based Optimisation for Sentence Level MT Evaluation.
WMT@EMNLP
Xingyi Song, Trevor Cohn