Sumanth Dathathri

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 27

Top Topics

Improve Retrieval Effectiveness

Temporally Extended Goals

Top Venues

EMNLP (Findings)

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)
Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William S. Isaac, Lisa Anne Hendricks
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. CoRR (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)
Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. NeurIPS (2022)
Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
Challenges in Detoxifying Language Models. EMNLP (Findings) (2021)
Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications. NeurIPS (2021)
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR (2021)
Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
Verifying Probabilistic Specifications with Functional Lagrangians. CoRR (2021)
Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
Challenges in Detoxifying Language Models. CoRR (2021)
Andrea Madotto, Etsuko Ishii, Zhaojiang Lin, Sumanth Dathathri, Pascale Fung
Plug-and-Play Conversational Models. EMNLP (Findings) (2020)
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. CoRR (2020)
Daniel J. Mankowitz, Dan A. Calian, Rae Jeong, Cosmin Paduraru, Nicolas Heess, Sumanth Dathathri, Martin A. Riedmiller, Timothy A. Mann
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification. CoRR (2020)
Andrea Madotto, Etsuko Ishii, Zhaojiang Lin, Sumanth Dathathri, Pascale Fung
Plug-and-Play Conversational Models. CoRR (2020)
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. NeurIPS (2020)
Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh, Richard M. Murray
Counter-example Guided Learning of Bounds on Environment Behavior. CoRR (2020)
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
Plug and Play Language Models: A Simple Approach to Controlled Text Generation. ICLR (2020)
Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh, Richard M. Murray
Counter-example Guided Learning of Bounds on Environment Behavior. CoRL (2019)
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
Plug and Play Language Models: A Simple Approach to Controlled Text Generation. CoRR (2019)
Sumanth Dathathri, Sicun Gao, Richard M. Murray
Inverse Abstraction of Neural Networks Using Symbolic Interpolation. AAAI (2019)
Sumanth Dathathri, Stephan Zheng, Richard M. Murray, Yisong Yue
Detecting Adversarial Examples via Neural Fingerprinting. CoRR (2018)
Sumanth Dathathri, Richard M. Murray
Decomposing GR(1) games with singleton liveness guarantees for efficient synthesis. CDC (2017)
Sumanth Dathathri, Nikos Aréchiga, Sicun Gao, Richard M. Murray
Learning-Based Abstractions for Nonlinear Constraint Solving. IJCAI (2017)
Sumanth Dathathri, Richard M. Murray
Decomposing GR(1) Games with Singleton Liveness Guarantees for Efficient Synthesis. CoRR (2017)
Sumanth Dathathri, Ioannis Filippidis, Richard M. Murray
Parallelizing Synthesis from Temporal Logic Specifications by Identifying Equicontrollable States. ISRR (2017)
Sumanth Dathathri, Scott C. Livingston, Richard M. Murray
Enhancing tolerance to unexpected jumps in GR(1) games. ICCPS (2017)
Nikos Aréchiga, Sumanth Dathathri, Shashank Vernekar, Nagesh Kathare, Sicun Gao, Shinichi Shiraishi
Osiris: A Tool for Abstraction and Verification of Control Software with Lookup Tables. SCAV@CPSWeek (2017)
Ioannis Filippidis, Sumanth Dathathri, Scott C. Livingston, Necmiye Ozay, Richard M. Murray
Control design for hybrid systems with TuLiP: The Temporal Logic Planning toolbox. CCA (2016)