This survey provides an in-depth analysis of knowledge conflicts for large language models
(LLMs), highlighting the complex challenges they encounter when blending contextual and …

The rapid advancement of Large Language Models (LLMs) has introduced a new frontier in
natural language processing, particularly in understanding and processing long-context …

Open-domain question answering (ODQA) stands at the forefront of advancing natural
language understanding and information retrieval. Traditional ODQA systems, which …

Meaning Representation (AMR) is a semantic formalism that captures the core meaning of
an utterance. There has been substantial work developing AMR corpora in English and …

Abstract Uniform Meaning Representation (UMR) is the next phase of semantic formalism
following Abstract Meaning Representation (AMR), with added focus on inter-sentential …

This thesis explores the development of efficient algorithms for managing partial information
in complex systems, focusing on two key areas: Graph Neural Networks (GNNs) and Bandit …