Collection by 
17 days ago
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Collection by 
Oct 31, 2023
Collection by 
Oct 31, 2023
Collection by Feb 6, 2024
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LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning
Paper • 2305.18169 • Published • 1 -
Quick Starting Dialog Systems with Paraphrase Generation
Paper • 2204.02546 • Published • 1 -
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Paper • 2401.16380 • Published • 51
Collection by Nov 20, 2023
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Soft-prompt Tuning for Large Language Models to Evaluate Bias
Paper • 2306.04735 • Published • 1 -
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective
Paper • 2211.01154 • Published • 1 -
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
Paper • 2212.08061 • Published • 1 -
Bias Assessment and Mitigation in LLM-based Code Generation
Paper • 2309.14345 • Published • 1
Collection by Feb 7, 2024
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Privacy-Preserving Prompt Tuning for Large Language Model Services
Paper • 2305.06212 • Published • 1 -
Privately Fine-Tuning Large Language Models with Differential Privacy
Paper • 2210.15042 • Published • 1 -
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale
Paper • 2207.09078 • Published • 1
Collection by Nov 15, 2023
Collection by Feb 23, 2024
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Automated Annotation with Generative AI Requires Validation
Paper • 2306.00176 • Published • 1 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation
Paper • 2310.14192 • Published • 2 -
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
Paper • 2309.08583 • Published • 1
Collection by Feb 1, 2024
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Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization
Paper • 2303.12314 • Published • 1 -
Augmented Large Language Models with Parametric Knowledge Guiding
Paper • 2305.04757 • Published • 2 -
Learning to Retrieve In-Context Examples for Large Language Models
Paper • 2307.07164 • Published • 23 -
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners
Paper • 2110.06274 • Published • 1
Collection by 
Oct 31, 2023
Collection by 17 days ago
Collection by Feb 7, 2024
-
Privacy-Preserving Prompt Tuning for Large Language Model Services
Paper • 2305.06212 • Published • 1 -
Privately Fine-Tuning Large Language Models with Differential Privacy
Paper • 2210.15042 • Published • 1 -
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale
Paper • 2207.09078 • Published • 1
Collection by Oct 31, 2023
Collection by Nov 15, 2023
Collection by Oct 31, 2023
Collection by Feb 23, 2024
-
Automated Annotation with Generative AI Requires Validation
Paper • 2306.00176 • Published • 1 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation
Paper • 2310.14192 • Published • 2 -
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
Paper • 2309.08583 • Published • 1
Collection by Feb 6, 2024
-
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning
Paper • 2305.18169 • Published • 1 -
Quick Starting Dialog Systems with Paraphrase Generation
Paper • 2204.02546 • Published • 1 -
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Paper • 2401.16380 • Published • 51
Collection by Feb 1, 2024
-
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization
Paper • 2303.12314 • Published • 1 -
Augmented Large Language Models with Parametric Knowledge Guiding
Paper • 2305.04757 • Published • 2 -
Learning to Retrieve In-Context Examples for Large Language Models
Paper • 2307.07164 • Published • 23 -
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners
Paper • 2110.06274 • Published • 1
Collection by Nov 20, 2023
-
Soft-prompt Tuning for Large Language Models to Evaluate Bias
Paper • 2306.04735 • Published • 1 -
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective
Paper • 2211.01154 • Published • 1 -
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
Paper • 2212.08061 • Published • 1 -
Bias Assessment and Mitigation in LLM-based Code Generation
Paper • 2309.14345 • Published • 1
Collection by Oct 31, 2023