conftrace_

data efficiency

125 papers

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Co-occurring keywords

active learning (1301) transfer learning (5449) model compression (3302) large language model (13587) language model (4599) text classification (6793) reinforcement learning (4352) coreset selection (33) representation learning (6206) neural network (6616)

Papers

Breaking the Resource Monopoly: LLM Post-Training and Serving with Modest Data and Compute AAAI 2026
Towards Aligned and Efficient Large Language Models AAAI 2026
UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective AAAI 2026
Zero-Shot Coreset Selection via Iterative Subspace Sampling WACV 2026
LaCo: Layer-wise Compensation for Pruned Large Language Models ACL 2026
FedCS: Coreset Selection for Federated Learning CVPR 2025
SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation ACL 2025
A Comparison of Elementary Baselines for BabyLM EMNLP 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks WACV 2025
A Little Human Data Goes A Long Way ACL 2025
Scale Efficient Training for Large Datasets CVPR 2025
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data NAACL 2025
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025
CycleOIE: A Low-Resource Training Framework For Open Information Extraction COLING 2025
CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025
Pretrained Image-Text Models are Secretly Video Captioners NAACL 2025
SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency ICCV 2025
Craw4LLM: Efficient Web Crawling for LLM Pretraining ACL 2025
Exploring Graph Representations of Logical Forms for Language Modeling ACL 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
Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency EMNLP 2025
Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data EMNLP 2025
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning AAAI 2025
Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization EMNLP 2025