Db-gpt: Empowering database interactions with private large language models
The recent breakthroughs in large language models (LLMs) are positioned to transition
many areas of software. Database technologies particularly have an important entanglement …
many areas of software. Database technologies particularly have an important entanglement …
Leveraging large language models for mobile app review feature extraction
Mobile app review analysis presents unique challenges due to the low quality, subjective
bias, and noisy content of user-generated documents. Extracting features from these reviews …
bias, and noisy content of user-generated documents. Extracting features from these reviews …
Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models
The rapid advancement of Text-to-Image (T2I) generative models has enabled the synthesis
of high-quality images guided by textual descriptions. Despite this significant progress, these …
of high-quality images guided by textual descriptions. Despite this significant progress, these …
PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods
Y Wang, X Li, B Wang, Y Zhou, Y Lin, H Ji… - arXiv preprint arXiv …, 2024 - arxiv.org
In domain-specific applications, GPT-4, augmented with precise prompts or Retrieval-
Augmented Generation (RAG), shows notable potential but faces the critical tri-lemma of …
Augmented Generation (RAG), shows notable potential but faces the critical tri-lemma of …
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Models trained on data composed of different groups or domains can suffer from severe
performance degradation under distribution shifts. While recent methods have largely …
performance degradation under distribution shifts. While recent methods have largely …
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
Lifelong prompt tuning has significantly advanced parameter-efficient lifelong learning with
its efficiency and minimal storage demands on various tasks. Our empirical studies …
its efficiency and minimal storage demands on various tasks. Our empirical studies …
Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models
The recent breakthroughs in large language models (LLMs) are positioned to transition
many areas of software. The technologies of interacting with data particularly have an …
many areas of software. The technologies of interacting with data particularly have an …