114搜索为您找到"

llms

"相关结果约1,000,000个

[2407.02352] Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of

2024年7月2日 - View a PDF of the paper titled Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification,...
arxiv.org

[2407.00497] LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement

2024年6月29日 - Abstract:This paper introduces the innovative LLMs-as-Instructors framework, which leverages the advanced Large Language Models (LLMs) to au...
arxiv.org

[2406.19949v1] Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationa

2024年6月28日 - matching performance with classifier-based black-box scoring systems. We first mimic the human assessment process by querying Large Language...
arxiv.org

[2407.03211] How Does Quantization Affect Multilingual LLMs?

2024年7月3日 - Abstract:Quantization techniques are widely used to improve inference speed and deployment of large language models. While a wide body of wo...
arxiv.org

[2407.01796] Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Cl

2024年7月1日 - Abstract:Retrieval-Augmented Generation (RAG) has been widely adopted to enhance Large Language Models (LLMs) in knowledge-intensive tasks. ...
arxiv.org

LM Studio Bionic - Agent for Work and Code

Download the latest local LLMs directly within the app and use them for simple chats or advanced agentic tasks. Powered by the LM Studio runtime, with MLX and l...
lmstudio.ai

[2407.04997] Achieving Tool Calling Functionality in LLMs Using Only Prompt Engineering Without Fine

2024年7月6日 - Abstract:Currently, the vast majority of locally deployed open-source large language models (LLMs) and some commercial model interfaces do n...
arxiv.org

反馈

反馈
反馈

反馈

反馈
反馈

相关搜索