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data selection

250 papers

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Co-occurring keywords · papers mentioning both

domain adaptation (43) large language model (42) neural machine translation (38) instruction tuning (28) language model (26) transfer learning (23) active learning (20) curriculum learning (18) automatic speech recognition (12) self-supervised learning (11)

Papers

NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric ICML 2025 On the Feasibility of In-Context Probing for Data Attribution NAACL 2025 Open Problem: Data Selection for Regression Tasks COLT 2025 Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data ACL 2025 Privacy Preserving Data Selection for Bias Mitigation in Speech Models ACL 2025 RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025 Reinforcement Learning-Guided Data Selection via Redundancy Assessment ICCV 2025 Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025 ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning EMNLP 2025 RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering EMNLP 2025 SAVA: Scalable Learning-Agnostic Data Valuation ICLR 2025 Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning EMNLP 2025 SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models ACL 2025 SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection ICLR 2025 SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation ICLR 2025 Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy EMNLP 2025 Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models NAACL 2025 TAROT: Targeted Data Selection via Optimal Transport ICML 2025 The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph ICML 2025 Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval EMNLP 2025 YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025 A Bayesian Approach to Data Point Selection NeurIPS 2024 Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost COLING 2024 Automatic Quality Estimation for Data Selection and Curriculum Learning CoNLL 2024 Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection ACL 2024