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Abigail See
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2020 – today
- 2023
- [i10]Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena:
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR abs/2311.18260 (2023) - 2022
- [c8]Ethan A. Chi, Ashwin Paranjape, Abigail See, Caleb Chiam, Trenton Chang, Kathleen Kenealy, Swee Kiat Lim, Amelia Hardy, Chetanya Rastogi, Haojun Li, Alexander Iyabor, Yutong He, Hari Sowrirajan, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, Christopher D. Manning:
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent. SIGDIAL 2022: 376-395 - [i9]Ethan A. Chi, Ashwin Paranjape, Abigail See, Caleb Chiam, Kathleen Kenealy, Swee Kiat Lim, Amelia Hardy, Chetanya Rastogi, Haojun Li, Alexander Iyabor, Yutong He, Hari Sowrirajan, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, Christopher D. Manning:
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent. CoRR abs/2207.12021 (2022) - [i8]Amelia Glaese, Nat McAleese, Maja Trebacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin J. Chadwick, Phoebe Thacker, Lucy Campbell-Gillingham, Jonathan Uesato, Po-Sen Huang, Ramona Comanescu, Fan Yang, Abigail See, Sumanth Dathathri, Rory Greig, Charlie Chen, Doug Fritz, Jaume Sanchez Elias, Richard Green, Sona Mokrá, Nicholas Fernando, Boxi Wu, Rachel Foley, Susannah Young, Iason Gabriel, William Isaac, John Mellor, Demis Hassabis, Koray Kavukcuoglu, Lisa Anne Hendricks, Geoffrey Irving:
Improving alignment of dialogue agents via targeted human judgements. CoRR abs/2209.14375 (2022) - 2021
- [b1]Abigail See:
Neural generation of open-ended text and dialogue. Stanford University, USA, 2021 - [c7]Abigail See, Christopher D. Manning:
Understanding and predicting user dissatisfaction in a neural generative chatbot. SIGDIAL 2021: 1-12 - 2020
- [i7]Ashwin Paranjape, Abigail See, Kathleen Kenealy, Haojun Li, Amelia Hardy, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Christopher D. Manning:
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations. CoRR abs/2008.12348 (2020)
2010 – 2019
- 2019
- [c6]Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning:
Do Massively Pretrained Language Models Make Better Storytellers? CoNLL 2019: 843-861 - [c5]Abigail See, Stephen Roller, Douwe Kiela, Jason Weston:
What makes a good conversation? How controllable attributes affect human judgments. NAACL-HLT (1) 2019: 1702-1723 - [i6]Abigail See, Stephen Roller, Douwe Kiela, Jason Weston:
What makes a good conversation? How controllable attributes affect human judgments. CoRR abs/1902.08654 (2019) - [i5]Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning:
Do Massively Pretrained Language Models Make Better Storytellers? CoRR abs/1909.10705 (2019) - 2017
- [c4]Abigail See, Peter J. Liu, Christopher D. Manning
:
Get To The Point: Summarization with Pointer-Generator Networks. ACL (1) 2017: 1073-1083 - [i4]Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme:
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 2017 - [i3]Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. TAC 2017 - [i2]Abigail See, Peter J. Liu, Christopher D. Manning:
Get To The Point: Summarization with Pointer-Generator Networks. CoRR abs/1704.04368 (2017) - 2016
- [c3]Abigail See, Minh-Thang Luong, Christopher D. Manning:
Compression of Neural Machine Translation Models via Pruning. CoNLL 2016: 291-301 - [i1]Abigail See, Minh-Thang Luong, Christopher D. Manning:
Compression of Neural Machine Translation Models via Pruning. CoRR abs/1606.09274 (2016) - 2014
- [c2]Abigail See, Yoram Bachrach, Pushmeet Kohli:
The cost of principles: analyzing power in compatibility weighted voting games. AAMAS 2014: 37-44 - 2013
- [c1]Byron Cook, Abigail See, Florian Zuleger:
Ramsey vs. Lexicographic Termination Proving. TACAS 2013: 47-61
Coauthor Index
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