view article Article Take Control of What Your LLM Knows and Does — with the EasyEdit Tool Series By xzwnlp and 3 others • Jul 15 • 4
ReCode: Updating Code API Knowledge with Reinforcement Learning Paper • 2506.20495 • Published Jun 25 • 8
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms Paper • 2505.20322 • Published May 23 • 14
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Paper • 2505.14681 • Published May 20 • 9
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models Paper • 2504.15133 • Published Apr 21 • 24
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models Paper • 2504.15133 • Published Apr 21 • 24
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners Paper • 2503.16356 • Published Mar 20 • 15
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners Paper • 2503.16356 • Published Mar 20 • 15
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training Paper • 2502.11196 • Published Feb 16 • 23
ReLearn: Unlearning via Learning for Large Language Models Paper • 2502.11190 • Published Feb 16 • 30
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training Paper • 2502.11196 • Published Feb 16 • 23
Exploring Model Kinship for Merging Large Language Models Paper • 2410.12613 • Published Oct 16, 2024 • 21
Benchmarking Chinese Knowledge Rectification in Large Language Models Paper • 2409.05806 • Published Sep 9, 2024 • 15
Knowledge Mechanisms in Large Language Models: A Survey and Perspective Paper • 2407.15017 • Published Jul 22, 2024 • 35
A Comprehensive Study of Knowledge Editing for Large Language Models Paper • 2401.01286 • Published Jan 2, 2024 • 21