Abigail See

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 16

Top Topics

Weighted Voting

Translation Model

Human Judgments

Top Venues

Publications

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 (2023)
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)
Amelia Glaese, Nat McAleese, Maja Trebacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin 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 (2022)
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 (2022)
Abigail See, Christopher D. Manning
Understanding and predicting user dissatisfaction in a neural generative chatbot. SIGDIAL (2021)
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 (2020)
Abigail See, Stephen Roller, Douwe Kiela, Jason Weston
What makes a good conversation? How controllable attributes affect human judgments. CoRR (2019)
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning
Do Massively Pretrained Language Models Make Better Storytellers? CoRR (2019)
Abigail See, Stephen Roller, Douwe Kiela, Jason Weston
What makes a good conversation? How controllable attributes affect human judgments. NAACL-HLT (1) (2019)
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning
Do Massively Pretrained Language Models Make Better Storytellers? CoNLL (2019)
Abigail See, Peter J. Liu, Christopher D. Manning
Get To The Point: Summarization with Pointer-Generator Networks. ACL (1) (2017)
Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, Christopher D. Manning
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. TAC (2017)
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)
Abigail See, Peter J. Liu, Christopher D. Manning
Get To The Point: Summarization with Pointer-Generator Networks. CoRR (2017)
Abigail See, Minh-Thang Luong, Christopher D. Manning
Compression of Neural Machine Translation Models via Pruning. CoRR (2016)
Abigail See, Minh-Thang Luong, Christopher D. Manning
Compression of Neural Machine Translation Models via Pruning. CoNLL (2016)
Abigail See, Yoram Bachrach, Pushmeet Kohli
The cost of principles: analyzing power in compatibility weighted voting games. AAMAS (2014)
Byron Cook, Abigail See, Florian Zuleger
Ramsey vs. Lexicographic Termination Proving. TACAS (2013)