Co-occurring keywords · papers mentioning both
Papers
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
NeurIPS 2024
C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning
IJCAI 2024
Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese
EMNLP 2024
CodecLM: Aligning Language Models with Tailored Synthetic Data
NAACL 2024
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
EMNLP 2024
Differentially Private Sum-Product Networks
ICML 2024
Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts
EMNLP 2024
Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models
COLING 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning
EMNLP 2024
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation
NAACL 2024
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
ACL 2024
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
EMNLP 2024
Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification
ICML 2024
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
EMNLP 2024
LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues
NAACL 2024
Neuro-Symbolic Data Generation for Math Reasoning
NeurIPS 2024
PropBank-Powered Data Creation: Utilizing Sense-Role Labelling to Generate Disaster Scenario Data
COLING 2024
Pushing the Limits of Low-Resource NER Using LLM Artificial Data Generation
ACL 2024
Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese
COLING 2024
Regeneration Learning: A Learning Paradigm for Data Generation
AAAI 2024
Reliable Data Generation and Selection for Low-Resource Relation Extraction
AAAI 2024
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
AAAI 2024
Table Question Answering for Low-resourced Indic Languages
EMNLP 2024
WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion
CVPR 2024
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications
EMNLP 2023