Jessica Hoffmann
9 papers · 2019–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Core AI
(4)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Applications
(3)
Application Areas
(2)
Core Methods
(2)
Learning Types
(2)
Mathematics
(2)
Computer Science
(1)
Computer Vision
(1)
Deep Learning
(1)
Reinforcement Learning
(1)
Keywords
large language model
(2)
regularization
(1)
generative model
(1)
text generation
(1)
content moderation
(1)
sample complexity
(1)
posterior sampling
(1)
image super-resolution
(1)
network inference
(1)
graph embedding
(1)
robust estimation
(1)
inverse covariance
(1)
bandits
(1)
influence maximization
(1)
text classification
(1)
gaussian graphical model
(1)
tree structure
(1)
social network
(1)
language model
(1)
image generation
(1)
Papers
Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL
EMNLP 2025
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
ICML 2025
Decoding-time Realignment of Language Models
ICML 2024
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics
COLING 2024
Towards Agile Text Classifiers for Everyone
EMNLP 2023
Fairness for Image Generation with Uncertain Sensitive Attributes
ICML 2021
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
IJCAI 2020
Learning Mixtures of Graphs from Epidemic Cascades
ICML 2020
Robust Estimation of Tree Structured Gaussian Graphical Models
ICML 2019