conftrace_

data selection

221 papers

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Co-occurring keywords

domain adaptation (4595) neural machine translation (2310) large language model (13587) instruction tuning (838) language model (4599) transfer learning (5449) curriculum learning (633) active learning (1301) automatic speech recognition (1774) self-supervised learning (3777)

Papers

Deep Active Learning with Noise Stability AAAI 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models NIPS 2024
Improving Subgroup Robustness via Data Selection NIPS 2024
Vicomtech@WMT 2024: Shared Task on Translation into Low-Resource Languages of Spain EMNLP 2024
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection NIPS 2024
TSDS: Data Selection for Task-Specific Model Finetuning NIPS 2024
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning NIPS 2024
G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation ACL 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning NIPS 2024
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost COLING 2024
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models NIPS 2024
Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation COLING 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters NIPS 2024
Reliable Data Generation and Selection for Low-Resource Relation Extraction AAAI 2024
GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration NIPS 2024
Domain-Aware Data Selection for Speech Classification via Meta-Reweighting INTERSPEECH 2024
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning NIPS 2024
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training NIPS 2024
A Bayesian Approach to Data Point Selection NIPS 2024
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning NAACL 2024
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection ACL 2024
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection ACL 2024
Efficient Continual Pre-training for Building Domain Specific Large Language Models ACL 2024
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024
One-Shot Learning as Instruction Data Prospector for Large Language Models ACL 2024