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https://huggingface.co/papers/2504.16511 Paper page - QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Join the discussion on this paper page data selection for https://openreview.net/forum?id=2wt8m5HUBs NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric |... Curating data for instruction tuning is crucial for enhancing the performance of large language models (LLMs). This work aims to select training data for... data selection for https://arxiv.org/abs/2511.07074v1 [2511.07074v1] Importance-Aware Data Selection for Efficient LLM Instruction Tuning Abstract page for arXiv paper 2511.07074v1: Importance-Aware Data Selection for Efficient LLM Instruction Tuning data selection for importance aware https://openreview.net/forum?id=wjbTHLUSzU TSDS: Data Selection for Task-Specific Model Finetuning | OpenReview Finetuning foundation models for specific tasks is an emerging paradigm in modern machine learning. The efficacy of task-specific finetuning largely depends on... data selection for task specific tsds model finetuning https://aclanthology.org/2020.findings-emnlp.48/ Dynamic Data Selection for Curriculum Learning via Ability Estimation - ACL Anthology John P. Lalor, Hong Yu. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. dynamic data selection curriculum learning https://openreview.net/forum?id=XfHWcNTSHp A Survey on Data Selection for Language Models | OpenReview A major factor in the recent success of large language models is the use of enormous and ever-growing text datasets for unsupervised pre-training. However,... data selection for language models survey openreview https://www.sri.com/publication/speech-natural-language-pubs/efficient-data-selection-for-machine-translation/ Efficient data selection for machine translation - SRI Mar 23, 2023 - We introduce two methods for efficient selection of training data to be translated by humans. data selection for machine translation efficient sri https://aclanthology.org/2024.emnlp-main.291/ Concept-skill Transferability-based Data Selection for Large Vision-Language Models - ACL Anthology Jaewoo Lee, Boyang Li, Sung Ju Hwang. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024. data selection for https://openreview.net/forum?id=k7ytptAaDN Token-level Data Selection for Safe LLM Fine-tuning | OpenReview Fine-tuning large language models (LLMs) on custom datasets has become a standard approach for adapting these models to specific domains and applications.... data selection for llm fine tuning token level safe https://huggingface.co/papers/2505.17266 Paper page - Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning Join the discussion on this paper page data selection for instruction tuning https://deepai.org/publication/source-data-selection-for-out-of-domain-generalization Source data selection for out-of-domain generalization | DeepAI Feb 4, 2022 - 02/04/22 - Models that perform out-of-domain generalization borrow knowledge from heterogeneous source data and apply it to a related but dis... data selection for out of domain generalization source deepai https://research.google/pubs/ask2mask-guided-data-selection-for-masked-speech-modeling/ Ask2Mask: Guided Data Selection for Masked Speech Modeling data selection for guided masked speech modeling