Tag: auditory large language models
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Improving LLMs with Ask-when-Needed for Clearer Instructions
Discover how the Ask-when-Needed framework helps LLM agents clarify unclear instructions, boosting accuracy and reducing errors in AI tool use.
HalluHunter: Automated Detection of Factual Errors in LLMs
Discover HalluHunter, an iterative method that uncovers factual errors in large language models to improve accuracy and reliability.
Understanding Modality Preference in Omni-modal Large Models
Explore how Omni-modal Large Language Models shift from text dominance to visual preference, enhancing multi-modal AI performance and reliability.
Environment-Aware Planning Boosts Industrial E-commerce Search
Discover how Environment-Aware Search Planning (EASP) improves e-commerce search accuracy and conversion by adapting to real-time inventory and user intent...
Decision-Theoretic Steganography Detection in LLMs
Explore a novel decision-theoretic framework to detect, quantify, and mitigate steganography in large language models for enhanced AI oversight.