conftrace_

data selection

221 papers

Explore in graph

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

RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering EMNLP 2025
FINDR: A Fast Influential Data Selector for NL2Code Pretraining AACL 2025
LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs ACL 2025
JI2S: Joint Influence‐Aware Instruction Data Selection for Efficient Fine‐Tuning EMNLP 2025
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning EMNLP 2025
FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining EMNLP 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025
Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning EMNLP 2025
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models EMNLP 2025
More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning EMNLP 2025
Enhancing LLMs via High-Knowledge Data Selection AAAI 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025
Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning CVPR 2025
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning IJCAI 2025
Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025
Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning EMNLP 2025
Influence-driven Curriculum Learning for Pre-training on Limited Data EMNLP 2025
3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection EMNLP 2025
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space ACL 2025
LongAttn: Selecting Long-context Training Data via Token-level Attention ACL 2025
Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models ACL 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025
Automatic Quality Estimation for Data Selection and Curriculum Learning CONLL 2024
Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP 2024
G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation ACL 2024