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ORCIDSumeet Ramesh Motwani
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2020 – today
- 2026
[i11]Erik Y. Wang, Sumeet Ramesh Motwani, James V. Roggeveen, Eliot Hodges, Dulhan Jayalath, Charles London, Kalyan Ramakrishnan, Flaviu Cipcigan, Philip Torr, Alessandro Abate:
HorizonMath: Measuring AI Progress Toward Mathematical Discovery with Automatic Verification. CoRR abs/2603.15617 (2026)- [i10]Sumeet Ramesh Motwani, Daniel Nichols, Charles London, Peggy Li, Fabio Pizzati, Acer Blake, Hasan Hammoud, Tavish McDonald, Akshat Naik, Alesia Ivanova, Vignesh Baskaran, Ivan Laptev, Ruben Glatt, Tal Ben-Nun, Philip Torr, Natasha Jaques, Ameya Prabhu, Brian R. Bartoldson, Bhavya Kailkhura, Christian Schroeder de Witt:
LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning. CoRR abs/2604.14140 (2026) - [i9]Sumeet Ramesh Motwani, Chuan Du, Aleksander Petrov, Christopher Davis, Philip H. S. Torr, Antonio Papania-Davis, Weishi Yan:
AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems. CoRR abs/2604.16804 (2026) - 2025
- [c4]Divyansh Garg, Diego Caples, Andis Draguns, Nikil Ravi, Pranav Putta, Naman Garg, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian Schroeder de Witt, Sumeet Ramesh Motwani:
REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites. NeurIPS 2025 - [i8]Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han
, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Ramesh Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan:
Multi-Agent Risks from Advanced AI. CoRR abs/2502.14143 (2025) - [i7]Divyansh Garg, Shaun VanWeelden, Diego Caples, Andis Draguns, Nikil Ravi, Pranav Putta, Naman Garg, Tomas Abraham, Michael Lara, Federico Lopez, James Liu, Atharva Gundawar, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian A. Schröder de Witt, Sumeet Ramesh Motwani:
REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites. CoRR abs/2504.11543 (2025) - [i6]Sumeet Ramesh Motwani, Alesia Ivanova, Ziyang Cai, Philip Torr, Riashat Islam, Shital Shah, Christian Schröder de Witt, Charles London:
h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning. CoRR abs/2510.07312 (2025) - 2024
- [j1]Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Chenyu Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Aleksandar Petrov, Christian Schröder de Witt, Sumeet Ramesh Motwani, Yoshua Bengio, Danqi Chen, Philip Torr, Samuel Albanie, Tegan Maharaj, Jakob Nicolaus Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger:
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c3]Joar Max Viktor Skalse, Lucy Farnik, Sumeet Ramesh Motwani, Erik Jenner, Adam Gleave, Alessandro Abate:
STARC: A General Framework For Quantifying Differences Between Reward Functions. ICLR 2024 - [c2]Andis Draguns, Andrew Gritsevskiy, Sumeet Ramesh Motwani, Christian Schröder de Witt:
Unelicitable Backdoors via Cryptographic Transformer Circuits. NeurIPS 2024 - [c1]Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip Torr, Lewis Hammond, Christian Schröder de Witt:
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography. NeurIPS 2024 - [i5]Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip H. S. Torr, Lewis Hammond, Christian Schröder de Witt:
Secret Collusion Among Generative AI Agents. CoRR abs/2402.07510 (2024) - [i4]Andis Draguns, Andrew Gritsevskiy, Sumeet Ramesh Motwani, Charlie Rogers-Smith, Jeffrey Ladish, Christian Schröder de Witt:
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits. CoRR abs/2406.02619 (2024) - [i3]Pranav Putta, Edmund Mills, Naman Garg, Sumeet Ramesh Motwani, Chelsea Finn, Divyansh Garg, Rafael Rafailov:
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents. CoRR abs/2408.07199 (2024) - [i2]Sumeet Ramesh Motwani, Chandler Smith, Rocktim Jyoti Das, Markian Rybchuk, Philip H. S. Torr, Ivan Laptev, Fabio Pizzati, Ronald Clark, Christian Schröder de Witt:
MALT: Improving Reasoning with Multi-Agent LLM Training. CoRR abs/2412.01928 (2024) - 2023
- [i1]Joar Skalse, Lucy Farnik, Sumeet Ramesh Motwani, Erik Jenner, Adam Gleave, Alessandro Abate:
STARC: A General Framework For Quantifying Differences Between Reward Functions. CoRR abs/2309.15257 (2023)
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