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

Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora ACL 2025
We Need to Measure Data Diversity in NLP — Better and Broader EMNLP 2025
Assessing the Role of Data Quality in Training Bilingual Language Models EMNLP 2025
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025
ARTICLE: Annotator Reliability Through In-Context Learning AAAI 2025
FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining EMNLP 2025
Quality Assessment of Tabular Data using Large Language Models and Code Generation EMNLP 2025
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance EMNLP 2025
Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection EMNLP 2025
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models EMNLP 2025
Meaning Variation and Data Quality in the Corpus of Founding Era American English ACL 2025
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection IJCNLP 2025
Building Better: Avoiding Pitfalls in Developing Language Resources when Data is Scarce ACL 2025
SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025
Craw4LLM: Efficient Web Crawling for LLM Pretraining ACL 2025
Quality Beyond A Glance: Revealing Large Quality Differences Between Web-Crawled Parallel Corpora COLING 2025
A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation COLING 2025
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study ACL 2025
NeMo-Inspector: A Visualization Tool for LLM Generation Analysis NAACL 2025
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models EMNLP 2024
Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024
The Effects of Data Quality on Named Entity Recognition EACL 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge EMNLP 2024
Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models ACL 2024