Continual learning of large language models: A comprehensive survey
The recent success of large language models (LLMs) trained on static, pre-collected,
general datasets has sparked numerous research directions and applications. One such …
general datasets has sparked numerous research directions and applications. One such …
On-device language models: A comprehensive review
The advent of large language models (LLMs) revolutionized natural language processing
applications, and running LLMs on edge devices has become increasingly attractive for …
applications, and running LLMs on edge devices has become increasingly attractive for …
A survey on knowledge distillation of large language models
This survey presents an in-depth exploration of knowledge distillation (KD) techniques
within the realm of Large Language Models (LLMs), spotlighting the pivotal role of KD in …
within the realm of Large Language Models (LLMs), spotlighting the pivotal role of KD in …
Huatuogpt-vision, towards injecting medical visual knowledge into multimodal llms at scale
The rapid development of multimodal large language models (MLLMs), such as GPT-4V,
has led to significant advancements. However, these models still face challenges in medical …
has led to significant advancements. However, these models still face challenges in medical …
Multimodal aspect-based sentiment analysis: a survey of tasks, methods, challenges and future directions
With the development of social media, users increasingly tend to express their sentiments
(broadly including sentiment polarities, emotions and sarcasm, etc.) associated with fine …
(broadly including sentiment polarities, emotions and sarcasm, etc.) associated with fine …
Ai hospital: Benchmarking large language models in a multi-agent medical interaction simulator
Artificial intelligence has significantly revolutionized healthcare, particularly through large
language models (LLMs) that demonstrate superior performance in static medical question …
language models (LLMs) that demonstrate superior performance in static medical question …
Towards injecting medical visual knowledge into multimodal llms at scale
The rapid development of multimodal large language models (MLLMs), such as GPT-4V,
has led to significant advancements. However, these models still face challenges in medical …
has led to significant advancements. However, these models still face challenges in medical …
Huatuogpt-o1, towards medical complex reasoning with llms
The breakthrough of OpenAI o1 highlights the potential of enhancing reasoning to improve
LLM. Yet, most research in reasoning has focused on mathematical tasks, leaving domains …
LLM. Yet, most research in reasoning has focused on mathematical tasks, leaving domains …
Ai hospital: Interactive evaluation and collaboration of llms as intern doctors for clinical diagnosis
The incorporation of Large Language Models (LLMs) in healthcare marks a significant
advancement. However, the application has predominantly been limited to discriminative …
advancement. However, the application has predominantly been limited to discriminative …
Llms for doctors: Leveraging medical llms to assist doctors, not replace them
The recent success of Large Language Models (LLMs) has had a significant impact on the
healthcare field, providing patients with medical advice, diagnostic information, and more …
healthcare field, providing patients with medical advice, diagnostic information, and more …