🧑‍🔬 Jared Fernandez

🏛️ Affiliations

🎓Carnegie Mellon UniversityPittsburgh · United States2020–2026 · 12 paperscurrent🎓Northwestern UniversityEvanston · United States2017–2020 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Generative Data Augmentation for Commonsense Reasoning (2020 · 195 citations)
   High-performing commonsense reasoning models depend on large crowdsourced training sets. These are expensive to build and often contain annotation artifacts that models exploit. The authors propose G-DAUG^c, which expands small training sets with synthetic multiple-choice items produced by finetuned pretrained…
2. CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense (2019 · 90 citations)
   Pre-trained transformer models such as BERT reached or exceeded human scores on SWAG, a sentence-completion benchmark for commonsense inference.

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Doug Downey ×2
• Alisa Liu
• Chaitanya Malaviya
• Chandra Bhagavatula
• Ronan Le Bras
• Swabha Swayamdipta
• Yejin Choi

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2020
• Workshop on Evaluating Vector Space Representations for NLP: Workshop on Evaluating Vector Space Representations for NLP 2019

🔗 Cited by

Papers of our library cite their works 135 times (of the 141,840 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated 24 October 2026

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