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Machine learningDeep learning / NLP / CV

Explainable Question Answering (XQA)

Miundo ya kawaida ya QA husoma kifungu, huashiria sehemu ya jibu, na huishia hapo. QA Yanayoelezeka huenda zaidi: huangazia ni sentensi au tokeni zipi zilizoathiri zaidi jibu hilo, ama kwa kutoa sababu (dondoo ndogo inayounga mkono) au kwa kugawa alama za umuhimu kwa kila tokeni ya pembejeo. Hii hufanya hoja za miundo kuonekana — ikiwa ushahidi ulioangaziwa unasaidia jibu, watumiaji wanaweza kuamini utabiri; ikiwa haufanyi hivyo, wanajua miundo inazua uongo. Mbinu hii ni muhimu sana katika nyanja zenye hatari kubwa kama vile dawa au sheria, ambapo jibu sahihi na uhalali mbaya bado ni hatari.

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Vyanzo

  1. DeYoung, J., Jain, S., Rajani, N. F., Lehman, E., Xiong, C., Socher, R., & Wallace, B. C. (2020). ERASER: A Benchmark to Evaluate Rationalized NLP Models. In Proceedings of ACL 2020, pp. 4443–4458. DOI: 10.18653/v1/2020.acl-main.408
  2. Rajpurkar, P., Zhang, J., Lopyrev, K., & Liang, P. (2016). SQuAD: 100,000+ Questions for Machine Comprehension of Text. In Proceedings of EMNLP 2016, pp. 2383–2392. DOI: 10.18653/v1/D16-1264

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Explainable Question Answering (XQA). ScholarGate. https://scholargate.app/sw/deep-learning/explainable-question-answering

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ScholarGateExplainable Question Answering (Explainable Question Answering (XQA)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/explainable-question-answering · Seti ya data: https://doi.org/10.5281/zenodo.20539026