Concepedia

Abigail See

AS

Statistics

Publications

13

Citations

4.8K

H-Index

11

Active since

2014

Affiliations

Stanford University(Current)

Google (United States)

Google (United Kingdom)

Google DeepMind (United Kingdom)

Meta (Israel)

Abigail See is an author at Stanford University specializing in computing, computer science, and natural language processing.

ORCID

Publications per year

2014–2024

13

Publications

13

Get To The Point: Summarization with Pointer-Generator Networks

Abigail See, Peter J. Liu, Christopher D. Manning · 2017 · 3.9K citations · Full text

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What makes a good conversation? How controllable attributes affect human judgments

Abigail See, Stephen Roller, Douwe Kiela et al. · 2019 · 238 citations · Full text

, , +16

Collaboration between clinicians and vision–language models in radiology report generation

Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren et al. · Nature Medicine · 2024 · 135 citations · Full text

, , +17

Improving alignment of dialogue agents via targeted human judgements

Amelia Glaese, Nat McAleese, Maja Trębacz et al. · arXiv (Cornell University) · 2022 · 132 citations · Full text

, , +16

Get To The Point: Summarization with Pointer-Generator Networks

Abigail See, Peter J. Liu, Christopher D. Manning · arXiv (Cornell University) · 2017 · 111 citations · Full text

, , +14

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