Jilin Chen
9 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25)
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Grand Slam
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(7)
Natural Language Processing
(5)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Application Areas
(4)
Core AI
(4)
Deep Learning
(3)
Core Methods
(3)
Generation
(3)
Learning Types Β· Deep Learning
(3)
Applications
(2)
Reinforcement Learning
(1)
Architectures
(1)
Methods
(1)
Optimization & Theory
(1)
Keywords
large language model
(4)
text classification
(3)
model robustness
(2)
adversarial learning
(2)
fairness testing
(1)
model architecture
(1)
ensemble learning
(1)
prompt engineering
(1)
domain adaptation
(1)
text generation
(1)
in-context learning
(1)
sentiment classification
(1)
parameter sharing
(1)
adversarial training
(1)
out-of-distribution generalization
(1)
multi-task learning
(1)
machine learning
(1)
uncertainty sampling
(1)
generative model
(1)
zero-shot learning
(1)
Papers
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
ICLR 2024
Controlled Decoding from Language Models
ICML 2024
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
EMNLP 2023
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting
EMNLP 2023
Flexible text generation for counterfactual fairness probing
NAACL 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
EMNLP 2022
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
EMNLP 2020
Fairness without Demographics through Adversarially Reweighted Learning
NeurIPS 2020
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
AAAI 2019