Olivia Redfield

Evaluation & Benchmarks · 2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Evaluation & Benchmarks — 19 citations into it; #3,126 of 3,147 by trust here, #254 by citations
• Information Retrieval & Search — 6 citations into it; #1,011 of 1,022 by trust here, #41 by citations

Whom Olivia Redfield trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ellen M. Voorhees

Who trusts Olivia Redfield overall

1. Gautier Izacard
2. Akari Asai
3. Luyu Gao
4. Yi Tay
5. Patrick Lewis
6. Sewon Min
7. Jinhyuk Lee
8. Kurt Shuster
9. Michael R. Glass
10. Wenhan Xiong

Papers from Olivia Redfield's perspective

Ordered by how strongly the researchers Olivia Redfield trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bleu: a Method for Automatic Evaluation of Machine Translation
2. The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
3. Teaching Machines to Read and Comprehend
4. Reading Wikipedia to Answer Open-Domain Questions
5. Adversarial Examples for Evaluating Reading Comprehension Systems
6. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
7. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
8. A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
9. Attention is All you Need (Neural Information Processing Systems)
10. The NarrativeQA Reading Comprehension Challenge

Their papers

• Natural Questions: A Benchmark for Question Answering Research (2019) — 4,925 citations
• Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions (2019) — 85 citations