Pre-trained language models for text generation: A survey
Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
Natural language reasoning, a survey
This survey article proposes a clearer view of Natural Language Reasoning (NLR) in the
field of Natural Language Processing (NLP), both conceptually and practically …
field of Natural Language Processing (NLP), both conceptually and practically …
Sparks of artificial general intelligence: Early experiments with gpt-4
S Bubeck, V Chandrasekaran, R Eldan… - ar** and refining large language
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …
Minigpt-4: Enhancing vision-language understanding with advanced large language models
The recent GPT-4 has demonstrated extraordinary multi-modal abilities, such as directly
generating websites from handwritten text and identifying humorous elements within …
generating websites from handwritten text and identifying humorous elements within …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face
Solving complicated AI tasks with different domains and modalities is a key step toward
artificial general intelligence. While there are numerous AI models available for various …
artificial general intelligence. While there are numerous AI models available for various …
Camel: Communicative agents for" mind" exploration of large language model society
The rapid advancement of chat-based language models has led to remarkable progress in
complex task-solving. However, their success heavily relies on human input to guide the …
complex task-solving. However, their success heavily relies on human input to guide the …
Harnessing the power of llms in practice: A survey on chatgpt and beyond
This article presents a comprehensive and practical guide for practitioners and end-users
working with Large Language Models (LLMs) in their downstream Natural Language …
working with Large Language Models (LLMs) in their downstream Natural Language …
Are aligned neural networks adversarially aligned?
Large language models are now tuned to align with the goals of their creators, namely to be"
helpful and harmless." These models should respond helpfully to user questions, but refuse …
helpful and harmless." These models should respond helpfully to user questions, but refuse …
Faith and fate: Limits of transformers on compositionality
Transformer large language models (LLMs) have sparked admiration for their exceptional
performance on tasks that demand intricate multi-step reasoning. Yet, these models …
performance on tasks that demand intricate multi-step reasoning. Yet, these models …