Skip to content
conftrace_

data generation

85 papers

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