Zero-Shot Stance Detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (18 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websites
  15 Jan 2025 1 repository listed
  Understanding how misleading and outright false information enters news ecosystems remains a difficult challenge that requires tracking how narratives spread across thousands of fringe and mainstream news websites.
• Zero-Shot Stance Detection using Contextual Data Generation with LLMs
  19 May 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  This method could enhance performance by allowing the adaptation of the model to new topics.
• EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection
  23 Mar 2024 1 repository listed
  To address these issues, we propose an encoder-decoder data augmentation (EDDA) framework.
• Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning
  22 Mar 2024 1 repository listed
  We present Stance Reasoner, an approach to zero-shot stance detection on social media that leverages explicit reasoning over background knowledge to guide the model's inference about the document's stance on a target.
• Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
  22 Feb 2024 1 repository listed
  Therefore, in this paper, we propose a Counterfactual Augmented Calibration Network (FACTUAL), which a novel calibration network is devised to calibrate potential bias in the stance prediction of LLMs.
• Stance Detection: A Practical Guide to Classifying Political Beliefs in Text
  2 May 2023 1 repository listed
  Stance detection is identifying expressed beliefs in a document.
• OpenStance: Real-world Zero-shot Stance Detection
  25 Oct 2022 1 repository listed
  To our knowledge, this is the first work that studies stance detection under the open-domain zero-shot setting.
• Exploiting Sentiment and Common Sense for Zero-shot Stance Detection
  18 Aug 2022 1 repository listed
  Meanwhile, ablation studies prove the significance of each module in our model.
• JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection
  1 May 2022 1 repository listed
  In this paper, we propose a joint contrastive learning (JointCL) framework, which consists of stance contrastive learning and target-aware prototypical graph contrastive learning.
• Adversarial Learning for Zero-Shot Stance Detection on Social Media
  14 May 2021 1 repository listed
  Stance detection on social media can help to identify and understand slanted news or commentary in everyday life.
• Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
  7 Oct 2020 1 repository listed
  Stance detection is an important component of understanding hidden influences in everyday life.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.