8 citations · 30 across the 17 of their papers we have counts for
3 papers · 1 filter
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…
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…
Clinical Dialogue Transcription Error Correction using Seq2Seq Models
Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar +2
Good communication is critical to good healthcare. Clinical dialogue is a conversation between health practitioners and their patients, with the explicit goal of obtaining and shar…