4 citations · 5 across the 6 of their papers we have counts for
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cs.CL2025
Cross-Layer Attention Probing for Fine-Grained Hallucination Detection
Malavika Suresh, Rahaf Aljundi, Ikechukwu Nkisi-Orji +1
With the large-scale adoption of Large Language Models (LLMs) in various applications, there is a growing reliability concern due to their tendency to generate inaccurate text, i.e…
cs.CL2024★ 4 cited
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering
Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena +6
Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) output by providing prior knowledge as context to input. This is beneficial for knowledge-intensive and exp…