MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System Paper • 2503.09600 • Published Mar 12 • 4 • 3
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System Paper • 2503.09600 • Published Mar 12 • 4 • 3
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System Paper • 2503.09600 • Published Mar 12 • 4
SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models Paper • 2503.07605 • Published Mar 10 • 66
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System Paper • 2503.09600 • Published Mar 12 • 4
SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models Paper • 2503.07605 • Published Mar 10 • 66
SurveyX: Academic Survey Automation via Large Language Models Paper • 2502.14776 • Published Feb 20 • 97
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model Paper • 2501.18636 • Published Jan 28 • 29
Meta-Chunking: Learning Efficient Text Segmentation via Logical Perception Paper • 2410.12788 • Published Oct 16, 2024 • 24
xFinder: Robust and Pinpoint Answer Extraction for Large Language Models Paper • 2405.11874 • Published May 20, 2024 • 7
HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainability Paper • 2407.00668 • Published Jun 30, 2024 • 3
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation Paper • 2311.15296 • Published Nov 26, 2023 • 3