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

Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models EMNLP 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025
Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning EMNLP 2025
FINDR: A Fast Influential Data Selector for NL2Code Pretraining AACL 2025
Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy EMNLP 2025
Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning EMNLP 2025
Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval EMNLP 2025
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space ACL 2025
Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity EMNLP 2025
3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection EMNLP 2025
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models ACL 2025
Reinforcement Learning-Guided Data Selection via Redundancy Assessment ICCV 2025
Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness ICCV 2025
Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models ACL 2025
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning EMNLP 2025
A Training-free Synthetic Data Selection Method for Semantic Segmentation AAAI 2025
Navigating Towards Fairness with Data Selection AAAI 2025
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review ACL 2025
From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025
FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining EMNLP 2025
CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025
Privacy Preserving Data Selection for Bias Mitigation in Speech Models ACL 2025
Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025