conftrace_

data cleaning

31 papers

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Co-occurring keywords

large language model (13587) machine translation (2499) neural machine translation (2310) data quality (130) label noise (498) text classification (6793) data filtering (99) text corpus (59) data deduplication (11) mislabeled datum (4)

Papers

Empowering Tabular Data Preparation with Language Models: Why and How? ACL 2026
Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025
Yankari: Monolingual Yoruba Dataset ACL 2025
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models ACL 2025
AutoClean: LLMs Can Prepare Their Training Corpus NAACL 2025
AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark EMNLP 2025
PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection SEMEVAL 2025
CLEANANERCorp: Identifying and Correcting Incorrect Labels in the ANERcorp Dataset COLING 2024
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024
IUST at ClimateActivism 2024: Towards Optimal Stance Detection: A Systematic Study of Architectural Choices and Data Cleaning Techniques EACL 2024
LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models ACL 2024
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages COLING 2024
Intrinsic Self-Supervision for Data Quality Audits NIPS 2024
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages NIPS 2024
SCIR-MT’s Submission for WMT24 General Machine Translation Task EMNLP 2024
Ask Language Model to Clean Your Noisy Translation Data EMNLP 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks ICML 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NIPS 2023
IOL Research Machine Translation Systems for WMT23 General Machine Translation Shared Task EMNLP 2023
Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization EMNLP 2023
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets EMNLP 2023
No Domain Left behind EMNLP 2022
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier AAAI 2022
Clean Text and Full-Body Transformer: Microsoft’s Submission to the WMT22 Shared Task on Sign Language Translation EMNLP 2022
Evaluating Corpus Cleanup Methods in the WMT’22 News Translation Task EMNLP 2022