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synthetic data

876 papers

Papers

A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages EMNLP 2025 A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops ICLR 2025 A Training-free Synthetic Data Selection Method for Semantic Segmentation AAAI 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 AutoEval Done Right: Using Synthetic Data for Model Evaluation ICML 2025 Bemba Speech Translation: Exploring a Low-Resource African Language ACL 2025 Beyond Generation: Leveraging LLM Creativity to Overcome Label Bias in Classification ACL 2025 Beyond the Surface: A Solution-Aware Retrieval Model for Competition-level Code Generation EMNLP 2025 Bias Amplification: Large Language Models as Increasingly Biased Media IJCNLP 2025 Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator ICLR 2025 Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks ICML 2025 Bridge-Coder: Transferring Model Capabilities from High-Resource to Low-Resource Programming Language ACL 2025 Bridging Semantic and Modality Gaps in Zero-Shot Captioning via Retrieval from Synthetic Data EMNLP 2025 Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarcity ACL 2025 CAC-CoT: Connector-Aware Compact Chain-of-Thought for Efficient Reasoning Data Synthesis Across Dual-System Cognitive Tasks EMNLP 2025 CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images CVPR 2025 Can Generative Models Improve Self-Supervised Representation Learning? AAAI 2025 Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? ACL 2025 CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory ACL 2025 Chip Placement with Diffusion Models ICML 2025 CodeArena: Evaluating and Aligning CodeLLMs on Human Preference EMNLP 2025 CodeMixBench: Evaluating Code-Mixing Capabilities of LLMs Across 18 Languages EMNLP 2025 COGUMELO at SemEval-2025 Task 3: A Synthetic Approach to Detecting Hallucinations in Language Models based on Named Entity Recognition SemEval 2025 Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World ICML 2025