Jesse Mu

According to our database, Jesse Mu authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach.

Tony T. Wang, John Hughes, Henry Sleight, Rylan Schaeffer, Rajashree Agrawal, Fazl Barez, Mrinank Sharma, Jesse Mu, Nir Shavit, Ethan Perez

CoRR, 2024

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam S. Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez

CoRR, 2024

2023

Learning to Compress Prompts with Gist Tokens.

Jesse Mu, Xiang Li, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Characterizing tradeoffs between teaching via language and demonstrations in multi-agent systems.

Dhara Yu, Noah D. Goodman, Jesse Mu

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Improving Policy Learning via Language Dynamics Distillation.

Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

STaR: Bootstrapping Reasoning With Reasoning.

Eric Zelikman, Yuhuai Wu, Jesse Mu, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Learning Helps Pretrained Models Learn the Intended Task.

Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Intrinsic Exploration with Language Abstractions.

Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Emergent Communication of Generalizations.

Jesse Mu, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Calibrate your listeners! Robust communication-based training for pragmatic speakers.

Rose E. Wang, Julia White, Jesse Mu, Noah D. Goodman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Compositional Explanations of Neurons.

Jesse Mu, Jacob Andreas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to refer informatively by amortizing pragmatic reasoning.

Julia White, Jesse Mu, Noah D. Goodman

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Shaping Visual Representations with Language for Few-shot Classification.

Jesse Mu, Percy Liang, Noah D. Goodman

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.

Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova

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

Do We Need Natural Language?: Exploring Restricted Language Interfaces for Complex Domains.

Jesse Mu, Advait Sarkar

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2017

Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering.

Jesse Mu, Joshua K. Hartshorne, Timothy O'Donnell

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Unsupervised learning of VerbNet argument structure.

Jesse Mu, Timothy O'Donnell, Joshua K. Hartshorne

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016