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 …
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 …
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 …
Qwen technical report
Large language models (LLMs) have revolutionized the field of artificial intelligence,
enabling natural language processing tasks that were previously thought to be exclusive to …
enabling natural language processing tasks that were previously thought to be exclusive to …
Video-llama: An instruction-tuned audio-visual language model for video understanding
We present Video-LLaMA, a multi-modal framework that empowers Large Language Models
(LLMs) with the capability of understanding both visual and auditory content in the video …
(LLMs) with the capability of understanding both visual and auditory content in the video …
Siren's song in the AI ocean: a survey on hallucination in large language models
While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
Principle-driven self-alignment of language models from scratch with minimal human supervision
Recent AI-assistant agents, such as ChatGPT, predominantly rely on supervised fine-tuning
(SFT) with human annotations and reinforcement learning from human feedback (RLHF) to …
(SFT) with human annotations and reinforcement learning from human feedback (RLHF) to …
Llama-adapter v2: Parameter-efficient visual instruction model
How to efficiently transform large language models (LLMs) into instruction followers is
recently a popular research direction, while training LLM for multi-modal reasoning remains …
recently a popular research direction, while training LLM for multi-modal reasoning remains …
How far can camels go? exploring the state of instruction tuning on open resources
In this work we explore recent advances in instruction-tuning language models on a range of
open instruction-following datasets. Despite recent claims that open models can be on par …
open instruction-following datasets. Despite recent claims that open models can be on par …
Large language models are not fair evaluators
In this paper, we uncover a systematic bias in the evaluation paradigm of adopting large
language models~(LLMs), eg, GPT-4, as a referee to score and compare the quality of …
language models~(LLMs), eg, GPT-4, as a referee to score and compare the quality of …