A survey on data synthesis and augmentation for large language models
K Wang, J Zhu, M Ren, Z Liu, S Li, Z Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
The success of Large Language Models (LLMs) is inherently linked to the availability of vast,
diverse, and high-quality data for training and evaluation. However, the growth rate of high …
diverse, and high-quality data for training and evaluation. However, the growth rate of high …
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
The rapid advancement of Large Language Models (LLMs) has driven their expanding
application across various fields. One of the most promising applications is their role as …
application across various fields. One of the most promising applications is their role as …
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making
Long-term memory is significant for agents, in which insights play a crucial role. However,
the emergence of irrelevant insight and the lack of general insight can greatly undermine the …
the emergence of irrelevant insight and the lack of general insight can greatly undermine the …
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
This technical report introduces the EXAONE 3.5 instruction-tuned language models,
developed and released by LG AI Research. The EXAONE 3.5 language models are offered …
developed and released by LG AI Research. The EXAONE 3.5 language models are offered …
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
L Zhao, W Zeng, X Shi, H Zhou - arXiv preprint arXiv:2412.15236, 2024 - arxiv.org
Recently, both closed-source LLMs and open-source communities have made significant
strides, outperforming humans in various general domains. However, their performance in …
strides, outperforming humans in various general domains. However, their performance in …
Aqulia-Med LLM: Pioneering Full-Process Open-Source Medical Language Models
Recently, both closed-source LLMs and open-source communities have made significant
strides, outperforming humans in various general domains. However, their performance in …
strides, outperforming humans in various general domains. However, their performance in …
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch
The availability of high-quality data is one of the most important factors in improving the
reasoning capability of LLMs. Existing works have demonstrated the effectiveness of …
reasoning capability of LLMs. Existing works have demonstrated the effectiveness of …
AIGS: Generating Science from AI-Powered Automated Falsification
Rapid development of artificial intelligence has drastically accelerated the development of
scientific discovery. Trained with large-scale observation data, deep neural networks extract …
scientific discovery. Trained with large-scale observation data, deep neural networks extract …