Scientific discoveries often hinge on synthesizing decades of research, a task that potentially
outstrips human information processing capacities. Large language models (LLMs) offer a …

Sensory information encoded by humans and other organisms is generally presumed to be
as accurate as their biological limitations allow. However, perhaps counterintuitively, …

People often need to take responsibility for others, with widespread and lasting impacts on
both themselves and those affected by the choice outcomes. Responsibility for others has …

From writing to hiking, people’s real-world sequential decision-making often benefits from “undoing”
(eg deleting sentences or backtracking). Surprisingly, undoing has not been studied …

… The authors would like to thank Sherry Dongqi Bao for conducting some preliminary
modelling work on this paradigm as part of a research visit to UCL. …

Large language models (LLMs) have emerged as powerful tools in various domains. Recent
studies have shown that LLMs can surpass humans in certain tasks, such as predicting the …

In virtual reality applications, users often navigate through virtual environments, but the issue
of physiological responses, such as cybersickness, fatigue, and cognitive workload, can …

I am happy to welcome you to EMNLP-2023 in Singapore! Like EMNLP-2021, EMNLP-2022,
and other ACL-related meetings, we decided to host EMNLP-2023 as another hybrid …

We present the first systematic evaluation examining format bias in performance of large
language models (LLMs). Our approach distinguishes between two categories of an evaluation …

We measure the performance of in-context learning as a function of task novelty and difficulty
for open and closed questions. For that purpose, we created a novel benchmark consisting …