Abigail See

According to our database, Abigail See authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable watermarking for identifying large language model outputs.

Sumanth Dathathri, Abigail See, Sumedh Ghaisas, Po-Sen Huang, Rob McAdam, Johannes Welbl, Vandana Bachani, Alex Kaskasoli, Robert Stanforth, Tatiana Matejovicova, Jamie Hayes, Nidhi Vyas, Majd Al Merey, Jonah Brown-Cohen, Rudy Bunel, Borja Balle, A. Taylan Cemgil, Zahra Ahmed, Kitty Stacpoole, Ilia Shumailov, Ciprian Baetu, Sven Gowal, Demis Hassabis, Pushmeet Kohli

Nat., October, 2024

2023

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation.

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

CoRR, 2023

2022

Improving alignment of dialogue agents via targeted human judgements.

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

CoRR, 2022

Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent.

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

CoRR, 2022

Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent.

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

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

2021

Neural generation of open-ended text and dialogue.

Abigail See

PhD thesis, 2021

Understanding and predicting user dissatisfaction in a neural generative chatbot.

Abigail See, Christopher D. Manning

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

2020

Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations.

Ashwin Paranjape, Abigail See, Kathleen Kenealy, Haojun Li, Amelia Hardy, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Christopher D. Manning

CoRR, 2020

2019

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

Abigail See, Stephen Roller, Douwe Kiela, Jason Weston

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Do Massively Pretrained Language Models Make Better Storytellers?

Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2017

Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.

Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, Christopher D. Manning

Proceedings of the 2017 Text Analysis Conference, 2017

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.

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

Proceedings of the 2017 Text Analysis Conference, 2017

Get To The Point: Summarization with Pointer-Generator Networks.

Abigail See, Peter J. Liu, Christopher D. Manning

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Compression of Neural Machine Translation Models via Pruning.

Abigail See, Minh-Thang Luong, Christopher D. Manning

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

2014

The cost of principles: analyzing power in compatibility weighted voting games.

Abigail See, Yoram Bachrach, Pushmeet Kohli

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Ramsey vs. Lexicographic Termination Proving.

Byron Cook, Abigail See, Florian Zuleger

Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2013