On the Limitations of Rank-One Model Editing in Answering Multi-hop Questions
On the Limitations of Rank-One Model Editing in Answering Multi-hop Questions explores Enhancing multi-hop reasoning in AI models through a novel redundant editing strategy for more accurate knowledge updates.. Commercial viability score: 6/10 in AI Knowledge Editing.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisBeyond the Covariance Trap: Unlocking Generalization in Same-Subject Knowledge Editing for Large Language ModelsViability: 5.0
- Builds On ThisReasonEdit: Editing Vision-Language Models using Human ReasoningViability: 5.0
- Builds On ThisOut-of-Distribution Generalization via Invariant Trajectories for Multimodal Large Language Model EditingViability: 5.0
- Higher ViabilityMetaKE: Meta-learning Aligned Knowledge Editing via Bi-level OptimizationViability: 7.0
- Higher ViabilityReforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping