The rise and potential of large language model based agents: A survey
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …
human intelligence. AI agents, which are artificial entities capable of sensing the …
A comprehensive overview of large language models
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …
natural language processing tasks and beyond. This success of LLMs has led to a large …
A survey of large language models
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
Reflexion: Language agents with verbal reinforcement learning
Large language models (LLMs) have been increasingly used to interact with external
environments (eg, games, compilers, APIs) as goal-driven agents. However, it remains …
environments (eg, games, compilers, APIs) as goal-driven agents. However, it remains …
Visionllm: Large language model is also an open-ended decoder for vision-centric tasks
Large language models (LLMs) have notably accelerated progress towards artificial general
intelligence (AGI), with their impressive zero-shot capacity for user-tailored tasks, endowing …
intelligence (AGI), with their impressive zero-shot capacity for user-tailored tasks, endowing …
Mimic-it: Multi-modal in-context instruction tuning
High-quality instructions and responses are essential for the zero-shot performance of large
language models on interactive natural language tasks. For interactive vision-language …
language models on interactive natural language tasks. For interactive vision-language …
Video-llava: Learning united visual representation by alignment before projection
The Large Vision-Language Model (LVLM) has enhanced the performance of various
downstream tasks in visual-language understanding. Most existing approaches encode …
downstream tasks in visual-language understanding. Most existing approaches encode …
mplug-owl: Modularization empowers large language models with multimodality
Large language models (LLMs) have demonstrated impressive zero-shot abilities on a
variety of open-ended tasks, while recent research has also explored the use of LLMs for …
variety of open-ended tasks, while recent research has also explored the use of LLMs for …
A survey on evaluation of large language models
Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …
industry, owing to their unprecedented performance in various applications. As LLMs …
Lisa: Reasoning segmentation via large language model
Although perception systems have made remarkable advancements in recent years they still
rely on explicit human instruction or pre-defined categories to identify the target objects …
rely on explicit human instruction or pre-defined categories to identify the target objects …