{"total":35,"rows":[{"id":"2210.03050","title":"State-of-the-art generalisation research in NLP: A taxonomy and review","created":"2022-10-06","cited_by_count":98,"area":null},{"id":"2212.14548","title":"How would Stance Detection Techniques Evolve after the Launch of ChatGPT?","created":"2022-12-30","cited_by_count":76,"area":null},{"id":"2105.06603","title":"Adversarial Learning for Zero-Shot Stance Detection on Social Media","created":"2021-05-14","cited_by_count":37,"area":null},{"id":"2204.04046","title":"KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media","created":"2022-04-08","cited_by_count":20,"area":null},{"id":"2105.07571","title":"Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes","created":"2021-05-17","cited_by_count":18,"area":null},{"id":"2208.08797","title":"Exploiting Sentiment and Common Sense for Zero-shot Stance Detection","created":"2022-08-18","cited_by_count":16,"area":null},{"id":"2506.17693","title":"Zero-Shot Conversational Stance Detection: Dataset and Approaches","created":"2025-06-21","cited_by_count":11,"area":null},{"id":"2401.01761","title":"Cross-target Stance Detection by Exploiting Target Analytical Perspectives","created":"2024-01-03","cited_by_count":10,"area":null},{"id":"2301.04535","title":"Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings","created":"2023-01-11","cited_by_count":9,"area":null},{"id":"2108.12476","title":"Opinions are Made to be Changed: Temporally Adaptive Stance Classification","created":"2021-08-27","cited_by_count":8,"area":null},{"id":"2211.01874","title":"Contextual information integration for stance detection via cross-attention","created":"2022-11-03","cited_by_count":6,"area":null},{"id":"2410.07083","title":"Stanceformer: Target-Aware Transformer for Stance Detection","created":"2024-10-09","cited_by_count":5,"area":null},{"id":"2504.09958","title":"C-MTCSD: A Chinese Multi-Turn Conversational Stance Detection Dataset","created":"2025-04-14","cited_by_count":5,"area":null},{"id":"2309.08316","title":"How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study","created":"2023-09-15","cited_by_count":4,"area":null},{"id":"2310.07155","title":"\"A Tale of Two Movements\": Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction","created":"2023-10-11","cited_by_count":4,"area":null},{"id":"2310.14450","title":"TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings","created":"2023-10-22","cited_by_count":4,"area":null},{"id":"2409.13594","title":"Cross-Target Stance Detection: A Survey of Techniques, Datasets, and Challenges","created":"2024-09-20","cited_by_count":4,"area":null},{"id":"2201.00614","title":"Semi-supervised Stance Detection of Tweets Via Distant Network Supervision","created":"2022-01-03","cited_by_count":3,"area":null},{"id":"2403.15715","title":"EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection","created":"2024-03-23","cited_by_count":3,"area":null},{"id":"2512.04492","title":"MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection","created":"2025-12-04","cited_by_count":3,"area":null},{"id":"2405.10991","title":"Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection","created":"2024-05-16","cited_by_count":2,"area":null},{"id":"2209.04631","title":"Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies","created":"2022-09-10","cited_by_count":1,"area":null},{"id":"2210.03380","title":"Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning","created":"2022-10-07","cited_by_count":1,"area":null},{"id":"2309.08460","title":"Explaining Search Result Stances to Opinionated People","created":"2023-09-15","cited_by_count":1,"area":null},{"id":"2403.05216","title":"SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media","created":"2024-03-08","cited_by_count":1,"area":null},{"id":"2404.03987","title":"Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study","created":"2024-04-05","cited_by_count":1,"area":null},{"id":"2404.14339","title":"Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptation","created":"2024-04-22","cited_by_count":1,"area":null},{"id":"2409.14395","title":"Predicting User Stances from Target-Agnostic Information using Large Language Models","created":"2024-09-22","cited_by_count":1,"area":null},{"id":"2503.03787","title":"Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilities","created":"2025-03-05","cited_by_count":1,"area":null},{"id":"2509.03725","title":"MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection","created":"2025-09-03","cited_by_count":1,"area":null},{"id":"2111.05139","title":"Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?","created":"2021-11-09","cited_by_count":0,"area":null},{"id":"2502.19276","title":"Disentangled VAD Representations via a Variational Framework for Political Stance Detection","created":"2025-02-26","cited_by_count":0,"area":null},{"id":"2510.22334","title":"Multilingual Target-Stance Extraction","created":"2025-10-25","cited_by_count":0,"area":null},{"id":"2609.06108","title":"From Two Passes to One: Compact and Efficient Target-Stance Extraction","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2610.03215","title":"StanceEval 2026: The Second Stance Detection Shared Task","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}