Jessica Hoffmann

According to our database, Jessica Hoffmann authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

Think Before You Lie: How Reasoning Leads to Honesty.

Ann Yuan, Asma Ghandeharioun, Carter Blum, Alicia Machado, Jessica Hoffmann, Daphne Ippolito, Martin Wattenberg, Lucas Dixon, Katja Filippova

CoRR, March, 2026

2025

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics.

Carter Blum, Katja Filippova, Ann Yuan, Asma Ghandeharioun, Julian Zimmert, Fred Zhang, Jessica Hoffmann, Tal Linzen, Martin Wattenberg, Lucas Dixon, Mor Geva

CoRR, August, 2025

Improving Neutral Point of View Text Generation through Parameter-Efficient Reinforcement Learning and a Small-Scale High-Quality Dataset.

Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon

CoRR, March, 2025

On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback.

Matthew Faw, Constantine Caramanis, Jessica Hoffmann

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL.

Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin MacMurray van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

PERL: Parameter Efficient Reinforcement Learning from Human Feedback.

Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin, Zhang Chen, Zac Yu, Jarvis Jin, Roman Komarytsia, Christiane Ahlheim, Yonghao Zhu, Simral Chaudhary, Bowen Li, Saravanan Ganesh, Bill Byrne, Jessica Hoffmann, Hassan Mansoor, Wei Li, Abhinav Rastogi, Lucas Dixon

CoRR, 2024

Decoding-time Realignment of Language Models.

Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics.

Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Towards Agile Text Classifiers for Everyone.

Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Fairness for Image Generation with Uncertain Sensitive Attributes.

Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Quarantines as a Targeted Immunization Strategy.

Jessica Hoffmann, Matt Jordan, Constantine Caramanis

CoRR, 2020

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks.

Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Mixtures of Graphs from Epidemic Cascades.

Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Disentangling Mixtures of Epidemics on Graphs.

Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis

CoRR, 2019

Robust estimation of tree structured Gaussian Graphical Model.

Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis

CoRR, 2019

Learning Graphs from Noisy Epidemic Cascades.

Jessica H. Hoffmann, Constantine Caramanis

Proceedings of the Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 2019

Robust Estimation of Tree Structured Gaussian Graphical Models.

Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

The Cost of Uncertainty in Curing Epidemics.

Jessica Hoffmann, Constantine Caramanis

Proceedings of the Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, 2018