conftrace_

data sampling

29 papers

Explore in graph

Co-occurring keywords

language model (4599) data selection (221) instruction tuning (838) class imbalance (555) data augmentation (3052) sampling strategy (51) sampling method (109) large language model (13587) transformer model (1996) neural network (6616)

Papers

Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View AAAI 2026
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts NAACL 2025
Swift Sampler: Efficient Learning of Sampler by 10 Parameters NIPS 2024
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions EMNLP 2024
Balanced Data Sampling for Language Model Training with Clustering ACL 2024
Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment AAAI 2024
Target-Aware Language Modeling via Granular Data Sampling EMNLP 2024
ActiveDC: Distribution Calibration for Active Finetuning CVPR 2024
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning EMNLP 2024
Reinforced Approximate Exploratory Data Analysis AAAI 2023
Skill-it! A data-driven skills framework for understanding and training language models NIPS 2023
Influence Scores at Scale for Efficient Language Data Sampling EMNLP 2023
Frequency Balanced Datasets Lead to Better Language Models EMNLP 2023
Data Sampling and (In)stability in Machine Translation Evaluation ACL 2023
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity EMNLP 2021
ITNLP at SemEval-2021 Task 11: Boosting BERT with Sampling and Adversarial Training for Knowledge Extraction ACL 2021
Improving Punctuation Restoration for Speech Transcripts via External Data EMNLP 2021
IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets NAACL 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization EMNLP 2021
AutoSampling: Search for Effective Data Sampling Schedules ICML 2021
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements SEMEVAL 2020
ScopeFlow: Dynamic Scene Scoping for Optical Flow CVPR 2020
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements COLING 2020
Neural Self-Training through Spaced Repetition NAACL 2019