Tag: 3D MLLMs
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Why LLMs Overuse External Tools Over Internal Knowledge
Explore why Large Language Models rely on external tools instead of internal knowledge and learn strategies to reduce this tool overuse effectively.
LePREC: Enhanced Legal Issue Identification with AI
LePREC improves legal issue identification by combining neural and symbolic AI, boosting accuracy by 30-40% over traditional LLM methods.
Local Linearity Enables Optimal Activation Steering in LLMs
Discover how local linearity in LLMs allows model-based linear optimal control for precise activation steering and improved AI alignment during inference.
LLM Sensitivity Testing for Semantic Similarity Scoring
Explore how large language models assess semantic similarity and positional bias in documents with our LLM-agnostic sensitivity testing framework.
Explicit Trait Inference Boosts Multi-Agent Coordination
Discover how Explicit Trait Inference improves multi-agent coordination by tracking partner traits like trust and skill for better decision-making.