Dissociating language and thought in large language models
Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …
human language, yet opinions about their linguistic and cognitive capabilities remain split …
Symbols and grounding in large language models
E Pavlick - … Transactions of the Royal Society A, 2023 - royalsocietypublishing.org
Large language models (LLMs) are one of the most impressive achievements of artificial
intelligence in recent years. However, their relevance to the study of language more broadly …
intelligence in recent years. However, their relevance to the study of language more broadly …
Challenging big-bench tasks and whether chain-of-thought can solve them
BIG-Bench (Srivastava et al., 2022) is a diverse evaluation suite that focuses on tasks
believed to be beyond the capabilities of current language models. Language models have …
believed to be beyond the capabilities of current language models. Language models have …
Promptaid: Prompt exploration, perturbation, testing and iteration using visual analytics for large language models
Large Language Models (LLMs) have gained widespread popularity due to their ability to
perform ad-hoc Natural Language Processing (NLP) tasks with a simple natural language …
perform ad-hoc Natural Language Processing (NLP) tasks with a simple natural language …
Grounding large language models in interactive environments with online reinforcement learning
Recent works successfully leveraged Large Language Models'(LLM) abilities to capture
abstract knowledge about world's physics to solve decision-making problems. Yet, the …
abstract knowledge about world's physics to solve decision-making problems. Yet, the …
Emergent world representations: Exploring a sequence model trained on a synthetic task
Language models show a surprising range of capabilities, but the source of their apparent
competence is unclear. Do these networks just memorize a collection of surface statistics, or …
competence is unclear. Do these networks just memorize a collection of surface statistics, or …
Language models represent space and time
The capabilities of large language models (LLMs) have sparked debate over whether such
systems just learn an enormous collection of superficial statistics or a coherent model of the …
systems just learn an enormous collection of superficial statistics or a coherent model of the …
Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks
The impressive performance of recent language models across a wide range of tasks
suggests that they possess a degree of abstract reasoning skills. Are these skills general …
suggests that they possess a degree of abstract reasoning skills. Are these skills general …
Meaning without reference in large language models
ST Piantadosi, F Hill - arXiv preprint arXiv:2208.02957, 2022 - arxiv.org
The widespread success of large language models (LLMs) has been met with skepticism
that they possess anything like human concepts or meanings. Contrary to claims that LLMs …
that they possess anything like human concepts or meanings. Contrary to claims that LLMs …
Do large language models know what humans know?
Humans can attribute beliefs to others. However, it is unknown to what extent this ability
results from an innate biological endowment or from experience accrued through child …
results from an innate biological endowment or from experience accrued through child …