Tag: AI reliability
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Detect Hallucinations in SpeechLLMs Using Attention Maps
Discover effective methods to detect hallucinations in Speech Large Language Models at inference time using attention-derived metrics for improved reliabil...
Tracing Fake Citations to Neurons in Large Language Models
Discover how specific neurons in LLMs cause fake citations and learn methods to reduce hallucination for more accurate academic writing.
LLM Robustness to Chain-of-Thought Perturbations Explained
Explore how large language models handle chain-of-thought perturbations and improve reasoning accuracy across diverse error types.
Boost LLM Consistency with Group Relative Policy Optimization
Improve large language model reliability using Group Relative Policy Optimization for consistent, stable recommendations across varied prompts.
TPA: Detecting Hallucinations in RAG with Token Attribution
Discover TPA, a novel method for detecting hallucinations in Retrieval-Augmented Generation by attributing next token probabilities to key model components...