A survey of multimodal large language model from a data-centric perspective
Multimodal large language models (MLLMs) enhance the capabilities of standard large
language models by integrating and processing data from multiple modalities, including text …
language models by integrating and processing data from multiple modalities, including text …
From Instructions to Intrinsic Human Values--A Survey of Alignment Goals for Big Models
Big models, exemplified by Large Language Models (LLMs), are models typically pre-
trained on massive data and comprised of enormous parameters, which not only obtain …
trained on massive data and comprised of enormous parameters, which not only obtain …
Towards tracing trustworthiness dynamics: Revisiting pre-training period of large language models
Ensuring the trustworthiness of large language models (LLMs) is crucial. Most studies
concentrate on fully pre-trained LLMs to better understand and improve LLMs' …
concentrate on fully pre-trained LLMs to better understand and improve LLMs' …
Learning or self-aligning? rethinking instruction fine-tuning
Instruction Fine-tuning~(IFT) is a critical phase in building large language models~(LLMs).
Previous works mainly focus on the IFT's role in the transfer of behavioral norms and the …
Previous works mainly focus on the IFT's role in the transfer of behavioral norms and the …
Foundation models for recommender systems: A survey and new perspectives
Recently, Foundation Models (FMs), with their extensive knowledge bases and complex
architectures, have offered unique opportunities within the realm of recommender systems …
architectures, have offered unique opportunities within the realm of recommender systems …
Llm-assisted code cleaning for training accurate code generators
Natural language to code generation is an important application area of LLMs and has
received wide attention from the community. The majority of relevant studies have …
received wide attention from the community. The majority of relevant studies have …
Wavecoder: Widespread and versatile enhancement for code large language models by instruction tuning
Recent work demonstrates that, after instruction tuning, Code Large Language Models
(Code LLMs) can obtain impressive capabilities to address a wide range of code-related …
(Code LLMs) can obtain impressive capabilities to address a wide range of code-related …