Co-occurring keywords · papers mentioning both
Papers
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment
NAACL 2025
DIDS: Domain Impact-aware Data Sampling for Large Language Model Training
EMNLP 2025
Ensembles of Low-Rank Expert Adapters
ICLR 2025
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining
COLING 2025
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
NAACL 2025
Taming LLMs with Gradient Grouping
ACL 2025
G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation
ACL 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
NeurIPS 2024
Federated Graph Classification over Non-IID Graphs
NeurIPS 2021