2 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
When Confidence Fails: Overconfidence in LLMs under Uncertainty and Missing Clinical Information
Maryam Tahermazandarani, Adnan Mahmood, Fahmida Islam +1
Large Language Models (LLMs) have achieved strong performance in medical question answering and clinical reasoning tasks. However, their reliability under uncertainty remains poorl…
AgenticAI-DialogGen: Topic-Guided Conversation Generation for Fine-Tuning and Evaluating Short- and Long-Term Memories of LLMs
Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake +1
Recent advancements in Large Language Models (LLMs) have improved their ability to process extended conversational contexts, yet fine-tuning and evaluating short- and long-term mem…
Towards Adaptive Context Management for Intelligent Conversational Question Answering
Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake +1
This particular paper introduces an Adaptive Context Management (ACM) framework for the Conversational Question Answering (ConvQA) systems. The key objective of the ACM framework i…
A Survey of the State-of-the-Art in Conversational Question Answering Systems
Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake +3
Conversational Question Answering (ConvQA) systems have emerged as a pivotal area within Natural Language Processing (NLP) by driving advancements that enable machines to engage in…