Jessica Hoffmann

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Sensitive Attributes

Labeled Documents

Influence Maximization

Gaussian Graphical Models

Top Venues

Proc. ACM Meas. Anal. Comput. Syst.

Publications

Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. LREC/COLING (2024)
Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
Decoding-time Realignment of Language Models. CoRR (2024)
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
PERL: Parameter Efficient Reinforcement Learning from Human Feedback. CoRR (2024)
Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin Van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. CoRR (2024)
Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
Towards Agile Text Classifiers for Everyone. EMNLP (Findings) (2023)
Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
Towards Agile Text Classifiers for Everyone. CoRR (2023)
Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price
Fairness for Image Generation with Uncertain Sensitive Attributes. ICML (2021)
Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price
Fairness for Image Generation with Uncertain Sensitive Attributes. CoRR (2021)
Jessica Hoffmann, Matt Jordan, Constantine Caramanis
Quarantines as a Targeted Immunization Strategy. CoRR (2020)
Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis
Learning Mixtures of Graphs from Epidemic Cascades. ICML (2020)
Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. IJCAI (2020)
Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. CoRR (2020)
Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis
Disentangling Mixtures of Epidemics on Graphs. CoRR (2019)
Jessica Hoffmann, Constantine Caramanis
Learning Graphs from Noisy Epidemic Cascades. Proc. ACM Meas. Anal. Comput. Syst. 3 (2) (2019)
Jessica Hoffmann, Constantine Caramanis
Learning Graphs from Noisy Epidemic Cascades. CoRR (2019)
Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis
Robust estimation of tree structured Gaussian Graphical Model. CoRR (2019)
Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis
Robust Estimation of Tree Structured Gaussian Graphical Models. ICML (2019)
Jessica Hoffmann, Constantine Caramanis
The Cost of Uncertainty in Curing Epidemics. SIGMETRICS (Abstracts) (2018)
Jessica Hoffmann, Constantine Caramanis
The Cost of Uncertainty in Curing Epidemics. Proc. ACM Meas. Anal. Comput. Syst. 2 (2) (2018)
Jessica Hoffmann, Constantine Caramanis
The Cost of Uncertainty in Curing Epidemics. CoRR (2017)