Abigail See - Concepedia

Author

Abigail See

Stanford University ORCID

Also Known As

Abigail See, See, Abigail

Publications

4.7K

Citations

H-Index

Concepts

All Affiliations

Stanford University Google (United States)Google (United Kingdom)Google DeepMind (United Kingdom)Meta (Israel)

About

Abigail See is an author at Stanford University specializing in natural language processing, computational linguistics, and linguistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	4.2K
2	Language Studies	5	5	4K
3	Arts	4	4	412
4	Health Sciences	1	1	101
5	Medicine	1	1	101

Abigail See

Publications

4.6K

Citations

H-Index

Page 1

	Year	Citations
Get To The Point: Summarization with Pointer-Generator Networks Abigail See, Peter J. Liu, Christopher D. Manning EngineeringMachine LearningEntity SummarizationCorpus LinguisticsText Mining	2017	3.8K
What makes a good conversation? How controllable attributes affect human judgments Abigail See, Stephen Roller, Douwe Kiela, Behavioral Decision MakingSocial PsychologyControllable AttributesLanguage ProcessingPsychology	2019	229
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese, Nat McAleese, Maja Trębacz, arXiv (Cornell University) Artificial IntelligenceDialogue AgentsEngineeringSpoken Dialog SystemCommunication	2022	130
Get To The Point: Summarization with Pointer-Generator Networks Abigail See, Peter J. Liu, Christopher D. Manning arXiv (Cornell University) EngineeringMachine LearningEntity SummarizationCorpus LinguisticsText Mining	2017	111
Collaboration between clinicians and vision–language models in radiology report generation Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Nature Medicine Artificial IntelligenceIntelligent DiagnosticsDiagnosisRadiologic EducationBoard-certified Radiologists	2024	101
Scalable watermarking for identifying large language model outputs Sumanth Dathathri, Abigail See, Sumedh Ghaisas, Nature	2024	70
Compression of Neural Machine Translation Models via Pruning Abigail See, Minh-Thang Luong, Christopher D. Manning Natural Language ProcessingPruning ThresholdsLarge Ai ModelNeural Scaling LawEngineering	2016	50
What makes a good conversation? How controllable attributes affect human judgments Abigail See, Stephen Roller, Douwe Kiela, arXiv (Cornell University) Artificial IntelligenceDialogue AgentsBehavioral Decision MakingSocial PsychologyControllable Attributes	2019	28
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations Ashwin Paranjape, Abigail See, Kathleen Kenealy, arXiv (Cornell University) Artificial IntelligenceChatbotEngineeringSpoken Dialog SystemCommunication	2020	25
Understanding and predicting user dissatisfaction in a neural generative chatbot Abigail See, Christopher D. Manning Artificial IntelligenceChatbotEngineeringAlexa Prize SocialbotSpoken Dialog System	2021	18

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