mlsanityData to 14 Oct 2026

PledgeTracker: A System for Monitoring the Fulfilment of Pledges

arXiv 2509.11804 ↗First posted 15 Sep 2025cs.CLcited by 0

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Abstract (arXiv)

Political pledges reflect candidates' policy commitments, but tracking their fulfilment requires reasoning over incremental evidence distributed across multiple, dynamically updated sources. Existing methods simplify this task into a document classification task, overlooking its dynamic, temporal and multi-document nature. To address this issue, we introduce textscPledgeTracker, a system that reformulates pledge verification into structured event timeline construction. PledgeTracker consists of three core components: (1) a multi-step evidence retrieval module; (2) a timeline construction module and; (3) a fulfilment filtering module, allowing the capture of the evolving nature of pledge fulfilment and producing interpretable and structured timelines. We evaluate PledgeTracker in collaboration with professional fact-checkers in real-world workflows, demonstrating its effectiveness in retrieving relevant evidence and reducing human verification effort.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 18 of its 31 references that are in the map. First posted on arXiv 15 Sep 2025.

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18 of 31 references.

References · 18

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  11. 2024OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMscited by 28
  12. 2024Do We Need Language-Specific Fact-Checking Models? The Case of Chinesecited by 15
6 more
  1. 2024See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknessescited by 15
  2. 2024Llama meets EU: Investigating the European Political Spectrum through the Lens of LLMscited by 14
  3. 2024HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claimscited by 12
  4. 2024Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevancecited by 7
  5. 2025Can LLMs Automate Fact-Checking Article Writing?cited by 7
  6. 2025CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise Verificationcited by 1

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