Add to ORKGHumans possess a remarkable ability to assign novel interpretations to linguistic expressions, enabling them to learn new words and understand community-specific connotations. However, Large Language Models (LLMs) have a knowledge cutoff and are costly to finetune repeatedly. Therefore, it is crucial for LLMs to learn novel interpretations in-context. In this paper, we systematically analyse the ability of LLMs to acquire novel interpretations using in-context learning. To facilitate our study, we introduce MAGNIFICo, an evaluation suite implemented within a text-to-SQL semantic parsing framework that incorporates diverse tokens and prompt settings to simulate real-world complexity. Experimental results on MAGNIFICo demonstrate that LLMs ex...
Language models, given their black-box nature, often exhibit sensitivity to input perturbations, lea...
The increasingly widespread adoption of large language models has highlighted the need for improving...
Large Language Models (LLMs) such as ChatGPT are deep learning architectures that have been trained ...
Large language models have exhibited emergent abilities, demonstrating exceptional performance acros...
Despite widespread use of LLMs as conversational agents, evaluations of performance fail to capture ...
Recent advances in the performance of large language models (LLMs) have sparked debate over whether,...
Large language models (LLMs) exhibit remarkable performance improvement through in-context learning ...
We propose the LLMs4OL approach, which utilizes Large Language Models (LLMs) for Ontology Learning (...
While recent advancements in large language models (LLMs) bring us closer to achieving artificial ge...
In-context learning (ICL) i.e. showing LLMs only a few task-specific demonstrations has led to downs...
Pretrained large language models (LLMs) are strong in-context learners that are able to perform few-...
We present an empirical evaluation of various outputs generated by nine of the most widely-available...
Large language models (LLMs) have significantly advanced the field of natural language processing, w...
Language Models (LMs) can perform new tasks by adapting to a few in-context examples. For humans, ex...
Large language models (LLMs) have shown incredible performance in completing various real-world task...
Language models, given their black-box nature, often exhibit sensitivity to input perturbations, lea...
The increasingly widespread adoption of large language models has highlighted the need for improving...
Large Language Models (LLMs) such as ChatGPT are deep learning architectures that have been trained ...
Large language models have exhibited emergent abilities, demonstrating exceptional performance acros...
Despite widespread use of LLMs as conversational agents, evaluations of performance fail to capture ...
Recent advances in the performance of large language models (LLMs) have sparked debate over whether,...
Large language models (LLMs) exhibit remarkable performance improvement through in-context learning ...
We propose the LLMs4OL approach, which utilizes Large Language Models (LLMs) for Ontology Learning (...
While recent advancements in large language models (LLMs) bring us closer to achieving artificial ge...
In-context learning (ICL) i.e. showing LLMs only a few task-specific demonstrations has led to downs...
Pretrained large language models (LLMs) are strong in-context learners that are able to perform few-...
We present an empirical evaluation of various outputs generated by nine of the most widely-available...
Large language models (LLMs) have significantly advanced the field of natural language processing, w...
Language Models (LMs) can perform new tasks by adapting to a few in-context examples. For humans, ex...
Large language models (LLMs) have shown incredible performance in completing various real-world task...
Language models, given their black-box nature, often exhibit sensitivity to input perturbations, lea...
The increasingly widespread adoption of large language models has highlighted the need for improving...
Large Language Models (LLMs) such as ChatGPT are deep learning architectures that have been trained ...