113 citations · 368 across the 39 of their papers we have counts for
40 papers
MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation
Junru Lu, Siyu An, Mingbao Lin +5
We propose MemoChat, a pipeline for refining instructions that enables large language models (LLMs) to effectively employ self-composed memos for maintaining consistent long-range…
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
Jiazheng Li, Zhaoyue Sun, Bin Liang +2
Text classifiers built on Pre-trained Language Models (PLMs) have achieved remarkable progress in various tasks including sentiment analysis, natural language inference, and questi…
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization
Xinyu Wang, Lin Gui, Yulan He
Document-level multi-event extraction aims to extract the structural information from a given document automatically. Most recent approaches usually involve two steps: (1) modeling…
Cone: Unsupervised Contrastive Opinion Extraction
Runcong Zhao, Lin Gui, Yulan He
Contrastive opinion extraction aims to extract a structured summary or key points organised as positive and negative viewpoints towards a common aspect or topic. Most recent works…
Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering
Junru Lu, Gabriele Pergola, Lin Gui +1
We propose a simple yet effective strategy to incorporate event knowledge extracted from event trigger annotations via posterior regularization to improve the event reasoning capab…
NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking
Wenjia Zhang, Lin Gui, Rob Procter +1
To enhance the ability to find credible evidence in news articles, we propose a novel task of expert recommendation, which aims to identify trustworthy experts on a specific news t…
Distilling ChatGPT for Explainable Automated Student Answer Assessment
Jiazheng Li, Lin Gui, Yuxiang Zhou +3
Providing explainable and faithful feedback is crucial for automated student answer assessment. In this paper, we introduce a novel framework that explores using ChatGPT, a cutting…
Explainable Recommender with Geometric Information Bottleneck
Hanqi Yan, Lin Gui, Menghan Wang +2
Explainable recommender systems can explain their recommendation decisions, enhancing user trust in the systems. Most explainable recommender systems either rely on human-annotated…
Some Observations on Fact-Checking Work with Implications for Computational Support
Rob Procter, Miguel Arana-Catania, Yulan He +4
Social media and user-generated content (UGC) have become increasingly important features of journalistic work in a number of different ways. However, the growth of misinformation…
A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System
Zheng Fang, Lama Alqazlan, Du Liu +2
Human-in-the-loop topic modelling incorporates users' knowledge into the modelling process, enabling them to refine the model iteratively. Recent research has demonstrated the valu…
PANACEA: An Automated Misinformation Detection System on COVID-19
Runcong Zhao, Miguel Arana-Catania, Lixing Zhu +6
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-check…
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization
Junru Lu, Jiazheng Li, Byron C. Wallace +2
Accessing medical literature is difficult for laypeople as the content is written for specialists and contains medical jargon. Automated text simplification methods offer a potenti…
Event Temporal Relation Extraction with Bayesian Translational Model
Xingwei Tan, Gabriele Pergola, Yulan He
Existing models to extract temporal relations between events lack a principled method to incorporate external knowledge. In this study, we introduce Bayesian-Trans, a Bayesian lear…
Distinguishability Calibration to In-Context Learning
Hongjing Li, Hanqi Yan, Yanran Li +3
Recent years have witnessed increasing interests in prompt-based learning in which models can be trained on only a few annotated instances, making them suitable in low-resource set…
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Runcong Zhao, Lin Gui, Hanqi Yan +1
Monitoring online customer reviews is important for business organisations to measure customer satisfaction and better manage their reputations. In this paper, we propose a novel d…
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
Jun Wang, Abhir Bhalerao, Terry Yin +2
Radiology report generation (RRG) has gained increasing research attention because of its huge potential to mitigate medical resource shortages and aid the process of disease decis…
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text
Zhaoyue Sun, Jiazheng Li, Gabriele Pergola +5
The primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimatel…
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation
Junru Lu, Xingwei Tan, Gabriele Pergola +2
Human reading comprehension often requires reasoning of event semantic relations in narratives, represented by Event-centric Question-Answering (QA). To address event-centric QA, w…
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
Yuanhang Yang, Shiyi Qi, Chuanyi Liu +3
Transformer-based models have achieved great success on sentence pair modeling tasks, such as answer selection and natural language inference (NLI). These models generally perform…
Addressing Token Uniformity in Transformers via Singular Value Transformation
Hanqi Yan, Lin Gui, Wenjie Li +1
Token uniformity is commonly observed in transformer-based models, in which different tokens share a large proportion of similar information after going through stacked multiple se…
PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence
John Dougrez-Lewis, Elena Kochkina, M. Arana-Catania +2
Work on social media rumour verification utilises signals from posts, their propagation and users involved. Other lines of work target identifying and fact-checking claims based on…
Cross-modal Prototype Driven Network for Radiology Report Generation
Jun Wang, Abhir Bhalerao, Yulan He
Radiology report generation (RRG) aims to describe automatically a radiology image with human-like language and could potentially support the work of radiologists, reducing the bur…
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media
Lixing Zhu, Zheng Fang, Gabriele Pergola +2
Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated dat…
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators
Rilwan A. Adewoyin, Ritabrata Dutta, Yulan He
In this paper, we study the task of improving the cohesion and coherence of long-form text generated by language models. To this end, we propose RSTGen, a framework that utilises R…