Tag: auditory large language models
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Is Chain-of-Thought Reasoning in LLMs Truly Reliable?
Explore if Chain-of-Thought reasoning in large language models is robust or just an illusion through a data distribution perspective.
Green Shielding: Enhancing Trustworthy AI with User Focus
Discover Green Shielding, a user-centric method improving AI reliability and safety in healthcare by addressing input variations in large language models.
Source-Sensitive Reasoning in Turkish: Humans vs LLMs
Explore how source trust impacts Turkish evidential reasoning in humans and LLMs, revealing gaps in AI's understanding of language trust cues.
DepthKV: Layer-Wise KV Cache Pruning for Efficient LLMs
Optimize long-context LLM inference with DepthKV's layer-dependent KV cache pruning for improved memory efficiency and model performance.
Dynamic Query Routing for Attention-Based Re-Ranking in LLMs
Discover how dynamic query routing to attention heads improves re-ranking accuracy in large language models for better NLP retrieval results.