data quality

Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws EMNLP 2024 Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024 Scaling Parameter-Constrained Language Models with Quality Data EMNLP 2024 Self-Consuming Generative Models Go MAD ICLR 2024 Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning NeurIPS 2024 The Effects of Data Quality on Named Entity Recognition EACL 2024 The State of Relation Extraction Data Quality: Is Bigger Always Better? ACL 2024 Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model ACL 2024 Variationist: Exploring Multifaceted Variation and Bias in Written Language Data ACL 2024 What's In My Big Data? ICLR 2024 AQuA: A Benchmarking Tool for Label Quality Assessment NeurIPS 2023 Better Quality Pre-training Data and T5 Models for African Languages EMNLP 2023 Bugs in the Data: How ImageNet Misrepresents Biodiversity AAAI 2023 Contrastive Error Attribution for Finetuned Language Models ACL 2023 Crowdsourced Data Validation for ASR Training Interspeech 2023 Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions AAAI 2023 DataPerf: Benchmarks for Data-Centric AI Development NeurIPS 2023 Enhancing Arabic Machine Translation for E-commerce Product Information: Data Quality Challenges and Innovative Selection Approaches EMNLP 2023 Incorporating Worker Perspectives into MTurk Annotation Practices for NLP EMNLP 2023 Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics ICLR 2023 On Evaluation of Document Classification with RVL-CDIP EACL 2023 On the Impact of Cross-Domain Data on German Language Models EMNLP 2023 OpenDataVal: a Unified Benchmark for Data Valuation NeurIPS 2023 Retaining Beneficial Information from Detrimental Data for Neural Network Repair NeurIPS 2023