HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang, Peng Qi, Saizheng Zhang low, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov low, Christopher D. Manning
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, Christopher D. Manning. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- Longformer: The Long-Document Transformer→HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringLegacy edge — source detail unavailable
- Natural Questions: A Benchmark for Question Answering Research→HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringLegacy edge — source detail unavailable
- A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and…→HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringLegacy edge — source detail unavailable
- HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
- HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
- HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy edge — source detail unavailable
- HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering→Reading Wikipedia to Answer Open-Domain QuestionsLegacy edge — source detail unavailable
- Natural Questions: A Benchmark for Question Answering Research→Reading Wikipedia to Answer Open-Domain QuestionsLegacy edge — source detail unavailable
- Natural Questions: A Benchmark for Question Answering Research→Know What You Don’t Know: Unanswerable Questions for SQuADLegacy edge — source detail unavailable
- Natural Questions: A Benchmark for Question Answering Research→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
- Reading Wikipedia to Answer Open-Domain Questions→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
- Reading Wikipedia to Answer Open-Domain Questions→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
- Know What You Don’t Know: Unanswerable Questions for SQuAD→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
Links
Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record
Topics
| Topic Modeling | Computer Science |
| Natural Language Processing Techniques | Computer Science |
| Multimodal Machine Learning Applications | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports7 author record(s) attached.
- supports21 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 db1645b78a57e29a…