---
title: "Who cites HEAD-QA: A Healthcare Dataset — 58 citing papers"
description: "58 papers of the Elamur Research library cite «HEAD-QA: A Healthcare Dataset for Complex Reasoning», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/vilares-2019-head-qa-healthcare-dataset-complex/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [HEAD-QA: A Healthcare Dataset for Complex…](https://md.research.elamur.ai/free/en/papers/vilares-2019-head-qa-healthcare-dataset-complex/) / cited by

# Who cites «HEAD-QA: A Healthcare Dataset for Complex Reasoning»

58 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «HEAD-QA: A Healthcare Dataset for Complex Reasoning»](https://md.research.elamur.ai/free/en/papers/vilares-2019-head-qa-healthcare-dataset-complex/)

1. **[A Comprehensive Overview of Large Language Models](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Humza Naveed, Asad Ullah Khan, Shi Qiu, et al.*2023 · 1,286 citations*
2. **[GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://md.research.elamur.ai/free/en/papers/black-2022-gpt-neox-20b-open-source/) [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models](https://md.research.elamur.ai/free/en/venues/bigscience/)**Sidney Black, Stella Biderman, Eric Hallahan, et al.*2022 · 821 citations*
3. [**MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering arXiv:2203.14371 · ACM Conference on Health, Inference, and Learning (CHIL) 2022**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2022 · 454 citations*](https://md.research.elamur.ai/free/en/papers/pal-2022-medmcqa-large-scale-multi-subject/)
4. **[Med-HALT: Medical Domain Hallucination Test for Large Language Models](https://md.research.elamur.ai/free/en/papers/pal-2023-med-halt-medical-domain-hallucination/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2023 · 220 citations*
5. [**Towards Building Multilingual Language Model for Medicine arXiv:2402.13963**Pengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, et al.*2024 · 183 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2024-towards-building-multilingual-language-model/)
6. [**Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models arXiv:2005.14709**Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/schlegel-2020-leaderboards-survey-methods-revealing-weaknesses/)

52 more papers of our library cite it; they have no page here yet.

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