9 citations · 14 across the 5 of their papers we have counts for
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cs.AI2026
Do I Really Know? Learning Factual Self-Verification for Hallucination Reduction
Enes Altinisik, Masoomali Fatehkia, Fatih Deniz +4
Factual hallucination remains a central challenge for large language models (LLMs). Existing mitigation approaches primarily rely on either external post-hoc verification or mappin…
cs.AI2024★ 9 cited
T-RAG: Lessons from the LLM Trenches
Masoomali Fatehkia, Ji Kim Lucas, Sanjay Chawla
Large Language Models (LLM) have shown remarkable language capabilities fueling attempts to integrate them into applications across a wide range of domains. An important applicatio…