When large language models meet personalization: Perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …
intelligence. With the unprecedented scale of training and model parameters, the capability …
A review on language models as knowledge bases
Recently, there has been a surge of interest in the NLP community on the use of pretrained
Language Models (LMs) as Knowledge Bases (KBs). Researchers have shown that LMs …
Language Models (LMs) as Knowledge Bases (KBs). Researchers have shown that LMs …
Self-instruct: Aligning language models with self-generated instructions
Large" instruction-tuned" language models (ie, finetuned to respond to instructions) have
demonstrated a remarkable ability to generalize zero-shot to new tasks. Nevertheless, they …
demonstrated a remarkable ability to generalize zero-shot to new tasks. Nevertheless, they …
Unifying large language models and knowledge graphs: A roadmap
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …
field of natural language processing and artificial intelligence, due to their emergent ability …
Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes
Deploying large language models (LLMs) is challenging because they are memory
inefficient and compute-intensive for practical applications. In reaction, researchers train …
inefficient and compute-intensive for practical applications. In reaction, researchers train …
A-okvqa: A benchmark for visual question answering using world knowledge
Abstract The Visual Question Answering (VQA) task aspires to provide a meaningful testbed
for the development of AI models that can jointly reason over visual and natural language …
for the development of AI models that can jointly reason over visual and natural language …
Unnatural instructions: Tuning language models with (almost) no human labor
Instruction tuning enables pretrained language models to perform new tasks from inference-
time natural language descriptions. These approaches rely on vast amounts of human …
time natural language descriptions. These approaches rely on vast amounts of human …
Discovering language model behaviors with model-written evaluations
As language models (LMs) scale, they develop many novel behaviors, good and bad,
exacerbating the need to evaluate how they behave. Prior work creates evaluations with …
exacerbating the need to evaluate how they behave. Prior work creates evaluations with …
Synthetic prompting: Generating chain-of-thought demonstrations for large language models
Large language models can perform various reasoning tasks by using chain-of-thought
prompting, which guides them to find answers through step-by-step demonstrations …
prompting, which guides them to find answers through step-by-step demonstrations …
Llms for knowledge graph construction and reasoning: Recent capabilities and future opportunities
This paper presents an exhaustive quantitative and qualitative evaluation of Large
Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning. We …
Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning. We …