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AI models track Nepali election promises to boost accountability

Researchers have developed a system to track and visualize election commitments made by political candidates, particularly in developing countries where accountability is often lacking. This work introduces the first gold-standard dataset for Nepali political texts and evaluates various AI models for extracting these commitments. LaBSE-LR and fastText-LSTM models showed strong performance, while the Qwen3_8B model demonstrated effectiveness in a few-shot setting. The system is integrated into a mobile application to enhance transparency and civic engagement. AI

IMPACT Enhances transparency and accountability in political processes through AI-driven analysis of campaign promises.

RANK_REASON Academic paper detailing a new dataset and model evaluation for election commitment mining. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI models track Nepali election promises to boost accountability

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Academic paper detailing a new dataset and model evaluation for election commitment mining. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Prakash Poudyal, Nischal Karki, Amrit Dahal, Rajani Chulyadyo, Sameer Tamrakar, Bal Krishna Bal ·

    From Promises to Accountability: Comparative AI Modeling and Visualization of Electoral Commitments in Nepali Political Texts

    arXiv:2610.32150v1 Announce Type: new Abstract: Election Commitment Mining refers to the analysis of election commitments made by electoral candidates or political parties during election campaigns. However, many elected candidates and political parties, especially in developing …