In the recent shift towards human-centric AI, the need for machines to accurately use natural
language has become increasingly important. While a common approach to achieve this is …

Scientific peer review is essential for the quality of academic publications. However, the
increasing number of paper submissions to conferences has strained the reviewing process …

Despite considerable performance improvements, current conversational AI systems often
fail to meet user expectations. We discuss several pragmatic limitations of current …

The summarization of conversation, that is, discourse over discourse, elevates pragmatic
considerations as a pervasive limitation of both summarization and other applications of …

How do language models" think"? This paper formulates a probabilistic cognitive model
called the bounded pragmatic speaker, which can characterize the operation of different …

When answering questions, LLMs can convey not only an answer, but a level of confidence
about the answer being correct. This includes explicit confidence markers (eg giving a …

When answering questions, large language models (LLMs) can convey not only an answer
to the question, but a level of confidence about the answer being correct. This includes …

Speakers' referential expressions often depart from communicative ideals in ways that help
illuminate the nature of pragmatic language use. Patterns of overmodification, in which a …

This doctoral thesis addresses the challenges and advancements in the realm of Human-
Machine Interaction, specifically focusing on the agency and misalignment of modern Large …

This thesis investigates the use of multi-agent reinforcement learning (MARL) to explore
emergent communications of artificial agents in social networks. The main goal is …