How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training Paper • 2502.11196 • Published 7 days ago • 20 • 6
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training Paper • 2502.11196 • Published 7 days ago • 20 • 6
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training Paper • 2502.11196 • Published 7 days ago • 20 • 6
ReLearn: Unlearning via Learning for Large Language Models Paper • 2502.11190 • Published 7 days ago • 28 • 2
A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following Paper • 2501.08187 • Published Jan 14 • 24 • 2
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System Paper • 2412.20005 • Published Dec 28, 2024 • 18 • 2
Exploring Model Kinship for Merging Large Language Models Paper • 2410.12613 • Published Oct 16, 2024 • 21 • 3
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation Paper • 2410.11779 • Published Oct 15, 2024 • 26 • 2
Benchmarking Chinese Knowledge Rectification in Large Language Models Paper • 2409.05806 • Published Sep 9, 2024 • 15 • 3
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs Paper • 2409.05152 • Published Sep 8, 2024 • 32 • 3
Knowledge Mechanisms in Large Language Models: A Survey and Perspective Paper • 2407.15017 • Published Jul 22, 2024 • 34 • 2
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models Paper • 2407.01920 • Published Jul 2, 2024 • 14 • 4
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models Paper • 2407.01920 • Published Jul 2, 2024 • 14 • 4