2 papers
cs.CL2026
BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection in Large Language Models
Naveen Bera, Pulijala Sai Nikhila, Kondaguduru Abhiram +6
Hallucination in large language models (LLMs), defined as the generation of factually incorrect or unsupported content, remains a critical barrier to reliable deployment. We presen…
cs.AI2026
Weakly Supervised Distillation of Hallucination Signals into Transformer Representations
Shoaib Sadiq Salehmohamed, Jinal Prashant Thakkar, Hansika Aredla +2
Existing hallucination detection methods for large language models (LLMs) rely on external verification at inference time, requiring gold answers, retrieval systems, or auxiliary j…