data filtering

Data-Centric Approach at the LoResMT 2026 Turkic Translation Challenge: Russian-Kyrgyz EACL 2026 Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models CVPR 2026 DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation EACL 2026 How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective ACL 2026 Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering EACL 2026 What Are They Filtering Out? An Experimental Benchmark of Filtering Strategies for Harm Reduction in Pretraining Datasets AAAI 2026 Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering ACL 2025 Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models ICLR 2025 Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering Interspeech 2025 Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models EMNLP 2025 DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression EMNLP 2025 Data Caricatures: On the Representation of African American Language in Pretraining Corpora ACL 2025 FiNE: Filtering and Improving Noisy Data Elaborately with Large Language Models NAACL 2025 How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation NAACL 2025 Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models EMNLP 2025 Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content CVPR 2025 LIME: Less Is More for MLLM Evaluation ACL 2025 Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning EMNLP 2025 LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models EMNLP 2025 Mastering the Craft of Data Synthesis for CodeLLMs NAACL 2025 Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models ICLR 2025 Multilingual Data Filtering using Synthetic Data from Large Language Models EMNLP 2025 Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset ACL 2025 OVFact: Measuring and Improving Open-Vocabulary Factuality for Long Caption Models EMNLP 2025 ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis NAACL 2025