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Papers
What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching?
CVPR 2026
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators
CVPR 2026
ZebraPose: Zebra Detection and Pose Estimation using only Synthetic Data
WACV 2026
A3-108 at BHASHA Task1: Asymmetric BPE configuration for Grammar Error Correction
AACL 2025
Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLM
AAAI 2025
Advancing Pediatric ASR: The Role of Voice Generation in Disordered Speech
Interspeech 2025
Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language
NAACL 2025
A Generalizable Rhetorical Strategy Annotation Model Using LLM-based Debate Simulation and Labelling
EMNLP 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
CVPR 2025
AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition
SemEval 2025
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study
ACL 2025
A Little Human Data Goes A Long Way
ACL 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
ACL 2025
Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection
Interspeech 2025
AndroidGen: Building an Android Language Agent under Data Scarcity
ACL 2025
Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs
SemEval 2025
A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages
EMNLP 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
NAACL 2025
A Statistical Approach for Controlled Training Data Detection
ICLR 2025
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
ACL 2025
A Systematic Examination of Preference Learning through the Lens of Instruction-Following
NAACL 2025
Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
EMNLP 2025
Augmenting Math Word Problems via Iterative Question Composing
AAAI 2025
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
CVPR 2025
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
NAACL 2025