Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scripts
Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scripts explores This research identifies and addresses the script barrier in cross-lingual knowledge transfer for large language models.. Commercial viability score: 5/10 in LLM Training.
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.
Recommended Stack
Startup Essentials
Estimated $10K - $14K 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 Answer: Decoding the Behavior of LLMs as Scientific ReasonersViability: 3.0
- Builds On ThisFrom Human Cognition to Neural Activations: Probing the Computational Primitives of Spatial Reasoning in LLMsViability: 3.0
- Builds On ThisKnowledge Localization in Mixture-of-Experts LLMs Using Cross-Lingual InconsistencyViability: 3.0
- Builds On ThisReasoning Shift: How Context Silently Shortens LLM ReasoningViability: 3.0
- Builds On ThisMind the (DH) Gap! A Contrast in Risky Choices Between Reasoning and Conversational LLMs