Unsupervised learning of VerbNet argument structure. - Jesse Mu; Timothy J. O'Donnell; Joshua K. Hartshorne (CogSci, 2016)

Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering. - Jesse Mu; Joshua K. Hartshorne; Timothy J. O'Donnell (EMNLP, 2017)

Do We Need Natural Language?: Exploring Restricted Language Interfaces for Complex Domains. - Jesse Mu; Advait Sarkar (CHI Extended Abstracts, 2019)

Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. - Jesse Mu; Helen Yannakoudakis; Ekaterina Shutova (NAACL-HLT (1), 2019)

Shaping Visual Representations with Language for Few-shot Classification. - Jesse Mu; Percy Liang; Noah D. Goodman (ViGIL@NeurIPS, 2019)

Learning to refer informatively by amortizing pragmatic reasoning. - Julia White 001; Jesse Mu; Noah D. Goodman (CogSci, 2020)

Compositional Explanations of Neurons. - Jesse Mu; Jacob Andreas (NeurIPS, 2020)

Calibrate your listeners! Robust communication-based training for pragmatic speakers. - Rose E. Wang; Julia White 001; Jesse Mu; Noah D. Goodman (EMNLP (Findings), 2021)

Emergent Communication of Generalizations. - Jesse Mu; Noah D. Goodman (NeurIPS, 2021)

Improving Intrinsic Exploration with Language Abstractions. - Jesse Mu; Victor Zhong; Roberta Raileanu; Minqi Jiang; Noah D. Goodman; Tim Rocktäschel; Edward Grefenstette (NeurIPS, 2022)

Active Learning Helps Pretrained Models Learn the Intended Task. - Alex Tamkin; Dat Nguyen; Salil Deshpande; Jesse Mu; Noah D. Goodman (NeurIPS, 2022)

STaR: Bootstrapping Reasoning With Reasoning. - Eric Zelikman; Yuhuai Wu; Jesse Mu; Noah D. Goodman (NeurIPS, 2022)

Improving Policy Learning via Language Dynamics Distillation. - Victor Zhong; Jesse Mu; Luke Zettlemoyer; Edward Grefenstette; Tim Rocktäschel (NeurIPS, 2022)

Characterizing tradeoffs between teaching via language and demonstrations in multi-agent systems. - Dhara Yu; Noah D. Goodman; Jesse Mu (CogSci, 2023)

Learning to Compress Prompts with Gist Tokens. - Jesse Mu; Xiang Li 063; Noah D. Goodman (NeurIPS, 2023)

Many-shot Jailbreaking. - Cem Anil; Esin Durmus; Nina Panickssery; Mrinank Sharma; Joe Benton; Sandipan Kundu; Joshua Batson; Meg Tong; Jesse Mu; Daniel Ford; Francesco Mosconi; Rajashree Agrawal; et al. (NeurIPS, 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; et al. (CoRR, 2024)

Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach. - Tony T. Wang 001; John Hughes; Henry Sleight; Rylan Schaeffer; Rajashree Agrawal; Fazl Barez; Mrinank Sharma; Jesse Mu; Nir Shavit; Ethan Perez (CoRR, 2024)

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. - Mrinank Sharma; Meg Tong; Jesse Mu; Jerry Wei; Jorrit Kruthoff; Scott Goodfriend; Euan Ong; Alwin Peng; Raj Agarwal; Cem Anil; Amanda Askell; Nathan Bailey; et al. (CoRR, 2025)

Forecasting Rare Language Model Behaviors. - Erik Jones; Meg Tong; Jesse Mu; Mohammed Mahfoud; Jan Leike; Roger B. Grosse; Jared Kaplan; William Fithian; Ethan Perez; Mrinank Sharma (CoRR, 2025)