mlsanityData to 14 Oct 2026

Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models

arXiv 2406.02143 ↗First posted 4 Jun 2024cs.CLcited by 5

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Abstract (arXiv)

Learning multi-task models for jointly detecting stance and verifying rumors poses challenges due to the need for training data of stance at post level and rumor veracity at claim level, which are difficult to obtain. To address this issue, we leverage large language models (LLMs) as the foundation annotators for the joint stance detection (SD) and rumor verification (RV) tasks, dubbed as JSDRV. We introduce a novel reinforcement tuning framework to enhance the joint predictive capabilities of LLM-based SD and RV components. Specifically, we devise a policy for selecting LLM-annotated data at the two levels, employing a hybrid reward mechanism to choose high-quality labels for effective LLM fine-tuning on both tasks. Results demonstrate that JSDRV improves the capabilities of LLMs in the joint tasks, not only outperforming state-of-the-art methods but also generalizing to non-LLMs accommodated as task models.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 35 of its 74 references that are in the map. First posted on arXiv 4 Jun 2024.

Builds on

35 of 74 references.

References · 35

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23 more
  1. 2023Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Methodcited by 97
  2. 2020Stance Detection on Social Media: State of the Art and Trendscited by 95
  3. 2016Stance Detection with Bidirectional Conditional Encodingcited by 93
  4. 2017SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumourscited by 77
  5. 2018RumourEval 2019: Determining Rumour Veracity and Support for Rumourscited by 75
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 1.

5 papers.

  1. 2025Large Language Models for Subjective Language Understanding: A Surveycited by 9
  2. 2025Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformationcited by 4
  3. 2024Crowd Intelligence for Early Misinformation Prediction on Social Mediacited by 2
  4. 2025LLM-based Few-Shot Early Rumor Detection with Imitation Agentcited by 0
  5. 2026Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerabilitycited by 0