Jessica Hoffmann

27 papers A* 7Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Think Before You Lie: How Reasoning Leads to Honesty. CoRR Ann Yuan, Asma Ghandeharioun, Carter Blum, Alicia Machado, Jessica Hoffmann, Daphne Ippolito, Martin Wattenberg, Lucas Dixon, Katja Filippova
2025	J	`jnl`	Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics. CoRR Carter Blum, Katja Filippova, Ann Yuan, Asma Ghandeharioun, Julian Zimmert, Fred Zhang, Jessica Hoffmann, Tal Linzen, Martin Wattenberg, Lucas Dixon, Mor Geva
2025	J	`jnl`	Improving Neutral Point of View Text Generation through Parameter-Efficient Reinforcement Learning and a Small-Scale High-Quality Dataset. CoRR Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon
2025	A*	`conf`	Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL. EMNLP Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin MacMurray van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon
2025	A*	`conf`	On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback. ICML Matthew Faw, Constantine Caramanis, Jessica Hoffmann
2025	J	`jnl`	On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback. CoRR Matthew Faw, Constantine Caramanis, Jessica Hoffmann
2024	A*	`conf`	Decoding-time Realignment of Language Models. ICML Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
2024	J	`jnl`	Decoding-time Realignment of Language Models. CoRR Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
2024	—	`conf`	Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. LREC/COLING Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon
2024	J	`jnl`	Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. CoRR Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon
2024	J	`jnl`	PERL: Parameter Efficient Reinforcement Learning from Human Feedback. CoRR 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
2023	—	`conf`	Towards Agile Text Classifiers for Everyone. EMNLP (Findings) Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
2023	J	`jnl`	Towards Agile Text Classifiers for Everyone. CoRR Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon
2021	A*	`conf`	Fairness for Image Generation with Uncertain Sensitive Attributes. ICML Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price
2021	J	`jnl`	Fairness for Image Generation with Uncertain Sensitive Attributes. CoRR Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price
2020	A*	`conf`	Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. IJCAI Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller
2020	J	`jnl`	Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. CoRR Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller
2020	A*	`conf`	Learning Mixtures of Graphs from Epidemic Cascades. ICML Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis
2020	J	`jnl`	Quarantines as a Targeted Immunization Strategy. CoRR Jessica Hoffmann, Matt Jordan, Constantine Caramanis
2019	J	`jnl`	Disentangling Mixtures of Epidemics on Graphs. CoRR Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis
2019	J	`jnl`	Learning Graphs from Noisy Epidemic Cascades. CoRR Jessica Hoffmann, Constantine Caramanis
2019	J	`jnl`	Learning Graphs from Noisy Epidemic Cascades. Proc. ACM Meas. Anal. Comput. Syst. Jessica Hoffmann, Constantine Caramanis
2019	A*	`conf`	Robust Estimation of Tree Structured Gaussian Graphical Models. ICML Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis
2019	J	`jnl`	Robust estimation of tree structured Gaussian Graphical Model. CoRR Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis
2018	—	`conf`	The Cost of Uncertainty in Curing Epidemics. SIGMETRICS (Abstracts) Jessica Hoffmann, Constantine Caramanis
2018	J	`jnl`	The Cost of Uncertainty in Curing Epidemics. Proc. ACM Meas. Anal. Comput. Syst. Jessica Hoffmann, Constantine Caramanis
2017	J	`jnl`	The Cost of Uncertainty in Curing Epidemics. CoRR Jessica Hoffmann, Constantine Caramanis