conftrace_

data quality

130 papers

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Co-occurring keywords

large language model (13587) language model (4599) instruction tuning (838) text classification (6793) annotation quality (109) data curation (59) label noise (498) data filtering (99) data selection (221) language model pretraining (105)

Papers

AIM: Manifold-based Data Filtering for Representation Finetuning AAAI 2026
From Selection to Refinement: Iterative Optimization for Instruction Data ACL 2026
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026
MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis AAAI 2026
Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering EACL 2026
RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity ACL 2026
A Data-Centric Analysis of the Impact of Training Data Quality vs. Quantity on P300 Brain-Computer Interface Performance (Student Abstract) AAAI 2026
How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP ACL 2026
Meaning Variation and Data Quality in the Corpus of Founding Era American English ACL 2025
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 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
Craw4LLM: Efficient Web Crawling for LLM Pretraining ACL 2025
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy ACL 2025
Train a Unified Multimodal Data Quality Classifier with Synthetic Data EMNLP 2025
Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis ICCV 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025
Structure Trumps Size: Rethinking Data Quality for LLM Reasoning EMNLP 2025
ARTICLE: Annotator Reliability Through In-Context Learning AAAI 2025
Quality Beyond A Glance: Revealing Large Quality Differences Between Web-Crawled Parallel Corpora COLING 2025
Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy COLING 2025
Cross-table Synthetic Tabular Data Detection COLING 2025
Data Monitoring for Large Scale Public Health Data AAAI 2025
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection IJCNLP 2025