Add to ORKGLarge language models have exhibited emergent abilities, demonstrating exceptional performance across diverse tasks for which they were not explicitly trained, including those that require complex reasoning abilities. The emergence of such abilities carries profound implications for the future direction of research in NLP, especially as the deployment of such models becomes more prevalent. However, one key challenge is that the evaluation of these abilities is often confounded by competencies that arise in models through alternative prompting techniques, such as in-context learning and instruction following, which also emerge as the models are scaled up. In this study, we provide the first comprehensive examination of these emergent abiliti...
Emergentists claim learning takes place by extracting regularities from the input. By the same token...
Language models show a surprising range of capabilities, but the source of their apparent competence...
The impressive recent performance of large language models has led many to wonder to what extent the...
With a handful of demonstration examples, large-scale language models show strong capability to perf...
Large language models (LLMs) exhibit remarkable performance improvement through in-context learning ...
The development of highly fluent large language models (LLMs) has prompted increased interest in ass...
Language Models (LMs) can perform new tasks by adapting to a few in-context examples. For humans, ex...
Large language models (LMs) are able to in-context learn -- perform a new task via inference alone b...
Large language models (LMs) such as GPT-3 have the surprising ability to do in-context learning, whe...
Large language models (LLMs) have shown incredible performance in completing various real-world task...
Working on a larger, more general topic: «Large Language Models (LLMs). Learning and Reasoning at th...
We explore the intriguing possibility that theory of mind (ToM), or the uniquely human ability to im...
Language models, given their black-box nature, often exhibit sensitivity to input perturbations, lea...
In-context learning (ICL) has become the default method for using large language models (LLMs), maki...
Large Language Models (LLMs) have not only exhibited exceptional performance across various tasks, b...
Emergentists claim learning takes place by extracting regularities from the input. By the same token...
Language models show a surprising range of capabilities, but the source of their apparent competence...
The impressive recent performance of large language models has led many to wonder to what extent the...
With a handful of demonstration examples, large-scale language models show strong capability to perf...
Large language models (LLMs) exhibit remarkable performance improvement through in-context learning ...
The development of highly fluent large language models (LLMs) has prompted increased interest in ass...
Language Models (LMs) can perform new tasks by adapting to a few in-context examples. For humans, ex...
Large language models (LMs) are able to in-context learn -- perform a new task via inference alone b...
Large language models (LMs) such as GPT-3 have the surprising ability to do in-context learning, whe...
Large language models (LLMs) have shown incredible performance in completing various real-world task...
Working on a larger, more general topic: «Large Language Models (LLMs). Learning and Reasoning at th...
We explore the intriguing possibility that theory of mind (ToM), or the uniquely human ability to im...
Language models, given their black-box nature, often exhibit sensitivity to input perturbations, lea...
In-context learning (ICL) has become the default method for using large language models (LLMs), maki...
Large Language Models (LLMs) have not only exhibited exceptional performance across various tasks, b...
Emergentists claim learning takes place by extracting regularities from the input. By the same token...
Language models show a surprising range of capabilities, but the source of their apparent competence...
The impressive recent performance of large language models has led many to wonder to what extent the...