Chandler Smith

According to our database, Chandler Smith authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

Robust Optimal Experimental Design Accounting for Sensor Failure.

Rebekah White, Chandler Smith, Drew P. Kouri, Jace Ritchie, Wilkins Aquino, Timothy Walsh

CoRR, April, 2026

OpenSanctions Pairs: Large-Scale Entity Matching with LLMs.

Chandler Smith, Magnus Sesodia, Friedrich Lindenberg, Christian Schroeder de Witt

CoRR, March, 2026

2025

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia.

Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Dylan Hadfield-Menell, Natasha Jaques, Tim Baarslag, José Hernández-Orallo, Joel Z. Leibo

CoRR, December, 2025

Multi-Agent Risks from Advanced AI.

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

CoRR, February, 2025

2024

MALT: Improving Reasoning with Multi-Agent LLM Training.

Sumeet Ramesh Motwani, Chandler Smith, Rocktim Jyoti Das, Markian Rybchuk, Philip H. S. Torr, Ivan Laptev, Fabio Pizzati, Ronald Clark, Christian Schröder de Witt

CoRR, 2024

Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees.

Chandler Smith, HanQin Cai, Abiy Tasissa

CoRR, 2024

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices.

Anka Reuel-Lamparth, Amelia F. Hardy, Chandler Smith, Max Lamparth, Malcolm Hardy, Mykel J. Kochenderfer

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Escalation Risks from Language Models in Military and Diplomatic Decision-Making.

Juan Pablo Rivera, Gabriel Mukobi, Anka Reuel, Max Lamparth, Chandler Smith, Jacquelyn Schneider

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Evaluating Language Model Character Traits.

Francis Rhys Ward, Zejia Yang, Alex Jackson, Randy Brown, Chandler Smith, Grace Colverd, Louis Thomson, Raymond Douglas, Patrik Bartak, Andrew Rowan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024