Benjamin L. Edelman

29 papers A* 11Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition. CoRR Mateusz Dziemian, Maxwell Lin, Xiaohan Fu, Micha Nowak, Nick Winter, Eliot Krzysztof Jones, Andy Zou, Lama Ahmad, Kamalika Chaudhuri, Sahana Chennabasappa, Xander Davies, Lauren Deason, Benjamin L. Edelman, Tanner Emek, Ivan Evtimov, Jim Gust, Maia Hamin, Kat He, Klaudia Krawiecka, Riccardo Patana, Neil Perry, Troy Peterson, Xiangyu Qi, Javier Rando, Zifan Wang, Zihan Wang, Spencer Whitman, Eric Winsor, Arman Zharmagambetov, Matt Fredrikson, Zico Kolter
2024	A*	`conf`	Distinguishing the Knowable from the Unknowable with Language Models. ICML Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman
2024	J	`jnl`	Distinguishing the Knowable from the Unknowable with Language Models. CoRR Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman
2024	A*	`conf`	Feature emergence via margin maximization: case studies in algebraic tasks. ICLR Depen Morwani, Benjamin L. Edelman, Costin-Andrei Oncescu, Rosie Zhao, Sham M. Kakade
2024	J	`jnl`	Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR 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 C. Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger
2024	J	`jnl`	Foundational Challenges in Assuring Alignment and Safety of Large Language Models. Trans. Mach. Learn. Res. 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
2024	A*	`conf`	The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains. NeurIPS Ezra Edelman, Nikolaos Tsilivis, Benjamin L. Edelman, Eran Malach, Surbhi Goel
2024	J	`jnl`	The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains. CoRR Benjamin L. Edelman, Ezra Edelman, Surbhi Goel, Eran Malach, Nikolaos Tsilivis
2024	A*	`conf`	Transcendence: Generative Models Can Outperform The Experts That Train Them. NeurIPS Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach
2024	J	`jnl`	Transcendence: Generative Models Can Outperform The Experts That Train Them. CoRR Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach
2024	A*	`conf`	Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models. ICML Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak
2023	J	`jnl`	Feature emergence via margin maximization: case studies in algebraic tasks. CoRR Depen Morwani, Benjamin L. Edelman, Costin-Andrei Oncescu, Rosie Zhao, Sham M. Kakade
2023	A*	`conf`	Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck. NeurIPS Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang
2023	J	`jnl`	Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck. CoRR Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang
2023	J	`jnl`	Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models. CoRR Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak
2023	J	`jnl`	Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models. IACR Cryptol. ePrint Arch. Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak
2022	A*	`conf`	Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit. NeurIPS Boaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang
2022	J	`jnl`	Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit. CoRR Boaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang
2022	A*	`conf`	Inductive Biases and Variable Creation in Self-Attention Mechanisms. ICML Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Cyril Zhang
2021	J	`jnl`	Inductive Biases and Variable Creation in Self-Attention Mechanisms. CoRR Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Cyril Zhang
2021	J	`jnl`	The multiplayer Colonel Blotto game. Games Econ. Behav. Enric Boix-Adserà, Benjamin L. Edelman, Siddhartha Jayanti
2020	A*	`conf`	Causal Strategic Linear Regression. ICML Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod
2020	J	`jnl`	Learning From Strategic Agents: Accuracy, Improvement, and Causality. CoRR Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod
2020	A*	`conf`	The Multiplayer Colonel Blotto Game. EC Enric Boix-Adserà, Benjamin L. Edelman, Siddhartha Jayanti
2020	J	`jnl`	The Multiplayer Colonel Blotto Game. CoRR Enric Boix-Adserà, Benjamin L. Edelman, Siddhartha Jayanti
2019	J	`jnl`	Matrix Rigidity and the Croot-Lev-Pach Lemma. Theory Comput. Zeev Dvir, Benjamin L. Edelman
2019	A*	`conf`	SGD on Neural Networks Learns Functions of Increasing Complexity. NeurIPS Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak
2019	J	`jnl`	SGD on Neural Networks Learns Functions of Increasing Complexity. CoRR Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak
2017	J	`jnl`	Matrix rigidity and the Croot-Lev-Pach lemma. CoRR Zeev Dvir, Benjamin L. Edelman