data quality

A Data-Centric Analysis of the Impact of Training Data Quality vs. Quantity on P300 Brain-Computer Interface Performance (Student Abstract) AAAI 2026 AIM: Manifold-based Data Filtering for Representation Finetuning AAAI 2026 From Selection to Refinement: Iterative Optimization for Instruction Data ACL 2026 How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP ACL 2026 How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026 Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering EACL 2026 MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis AAAI 2026 RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity ACL 2026 A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation COLING 2025 AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition SemEval 2025 Align2LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation ACL 2025 Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance EMNLP 2025 ARTICLE: Annotator Reliability Through In-Context Learning AAAI 2025 Assessing the Role of Data Quality in Training Bilingual Language Models EMNLP 2025 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 Building Better: Avoiding Pitfalls in Developing Language Resources when Data is Scarce ACL 2025 Call for Rigor in Reporting Quality of Instruction Tuning Data ACL 2025 Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025 Craw4LLM: Efficient Web Crawling for LLM Pretraining ACL 2025 CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025 Cross-table Synthetic Tabular Data Detection COLING 2025 Data Monitoring for Large Scale Public Health Data AAAI 2025 Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy COLING 2025 Data Quality Issues in Multilingual Speech Datasets: The Need for Sociolinguistic Awareness and Proactive Language Planning ACL 2025 Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection IJCNLP 2025