mlsanityData to 14 Oct 2026

Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations

arXiv 2010.03640 ↗First posted 7 Oct 2020cs.CLcited by 98

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Abstract (arXiv)

Stance detection is an important component of understanding hidden influences in everyday life. Since there are thousands of potential topics to take a stance on, most with little to no training data, we focus on zero-shot stance detection: classifying stance from no training examples. In this paper, we present a new dataset for zero-shot stance detection that captures a wider range of topics and lexical variation than in previous datasets. Additionally, we propose a new model for stance detection that implicitly captures relationships between topics using generalized topic representations and show that this model improves performance on a number of challenging linguistic phenomena.

Key facts. Cited by 98 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Oct 2020.

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Citing papers per year: 2021: 6; 2022: 15; 2023: 20; 2024: 30; 2025: 13; 2026: 14.

98 papers.

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  1. 2021Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collectionscited by 128
  2. 2022State-of-the-art generalisation research in NLP: A taxonomy and reviewcited by 98
  3. 2023Stance Detection with Collaborative Role-Infused LLM-Based Agentscited by 53
  4. 2022POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detectioncited by 51
  5. 2024A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Taskscited by 47
  6. 2021Adversarial Learning for Zero-Shot Stance Detection on Social Mediacited by 37
  7. 2021Cross-Domain Label-Adaptive Stance Detectioncited by 30
  8. 2023Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Mediacited by 23
  9. 2024No Preference Left Behind: Group Distributional Preference Optimizationcited by 21
  10. 2021NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledgecited by 20
  11. 2022Infusing Knowledge from Wikipedia to Enhance Stance Detectioncited by 20
  12. 2021Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemescited by 18
38 more
  1. 2024Multi-modal Stance Detection: New Datasets and Modelcited by 18
  2. 2023Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classificationcited by 17
  3. 2024A Challenge Dataset and Effective Models for Conversational Stance Detectioncited by 17
  4. 2022Exploiting Sentiment and Common Sense for Zero-shot Stance Detectioncited by 16
  5. 2022Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threadscited by 16
  6. 2023Do Differences in Values Influence Disagreements in Online Discussions?cited by 15
  7. 2023Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news mediacited by 14
  8. 2024Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligencecited by 11
  9. 2024SoMeLVLM: A Large Vision Language Model for Social Media Processingcited by 11
  10. 2025Zero-Shot Conversational Stance Detection: Dataset and Approachescited by 11
  11. 2022A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learningcited by 10
  12. 2024Cross-target Stance Detection by Exploiting Target Analytical Perspectivescited by 10
  13. 2024Can Large Language Models Address Open-Target Stance Detection?cited by 10
  14. 2021STEM: Unsupervised STructural EMbedding for Stance Detectioncited by 9
  15. 2023Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddingscited by 9
  16. 2025Large Language Models for Subjective Language Understanding: A Surveycited by 9
  17. 2022Learning Stance Embeddings from Signed Social Graphscited by 8
  18. 2024A Survey of Stance Detection on Social Media: New Directions and Perspectivescited by 8
  19. 2022OpenStance: Real-world Zero-shot Stance Detectioncited by 7
  20. 2024Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communitiescited by 7
  21. 2022Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentationcited by 6
  22. 2022Contextual information integration for stance detection via cross-attentioncited by 6
  23. 2024Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalizationcited by 6
  24. 2024Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performancecited by 6
  25. 2024ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarizationcited by 6
  26. 2025LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Informationcited by 6
  27. 2025Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directionscited by 6
  28. 2022Legal and Political Stance Detection of SCOTUS Languagecited by 5
  29. 2024Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibrationcited by 5
  30. 2024Zero-Shot Stance Detection using Contextual Data Generation with LLMscited by 5
  31. 2024Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Modelscited by 5
  32. 2024Stanceformer: Target-Aware Transformer for Stance Detectioncited by 5
  33. 2022RuArg-2022: Argument Mining Evaluationcited by 4
  34. 2023Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detectioncited by 4
  35. 2023Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detectioncited by 4
  36. 2023How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Studycited by 4
  37. 2023Enhancing Stance Classification on Social Media Using Quantified Moral Foundationscited by 4
  38. 2023TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddingscited by 4

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