A survey on large language model based autonomous agents
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …
communities. Previous research often focuses on training agents with limited knowledge …
Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness
The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
Text-to-sql empowered by large language models: A benchmark evaluation
Large language models (LLMs) have emerged as a new paradigm for Text-to-SQL task.
However, the absence of a systematical benchmark inhibits the development of designing …
However, the absence of a systematical benchmark inhibits the development of designing …
A survey of large language models for code: Evolution, benchmarking, and future trends
General large language models (LLMs), represented by ChatGPT, have demonstrated
significant potential in tasks such as code generation in software engineering. This has led …
significant potential in tasks such as code generation in software engineering. This has led …
From llms to llm-based agents for software engineering: A survey of current, challenges and future
With the rise of large language models (LLMs), researchers are increasingly exploring their
applications in var ious vertical domains, such as software engineering. LLMs have …
applications in var ious vertical domains, such as software engineering. LLMs have …
C3: Zero-shot text-to-sql with chatgpt
This paper proposes a ChatGPT-based zero-shot Text-to-SQL method, dubbed C3, which
achieves 82.3\% in terms of execution accuracy on the holdout test set of Spider and …
achieves 82.3\% in terms of execution accuracy on the holdout test set of Spider and …
A Survey of NL2SQL with Large Language Models: Where are we, and where are we going?
Translating users' natural language queries (NL) into SQL queries (ie, NL2SQL) can
significantly reduce barriers to accessing relational databases and support various …
significantly reduce barriers to accessing relational databases and support various …
Doraemongpt: Toward understanding dynamic scenes with large language models
The field of AI agents is advancing at an unprecedented rate due to the capabilities of large
language models (LLMs). However, LLM-driven visual agents mainly focus on solving tasks …
language models (LLMs). However, LLM-driven visual agents mainly focus on solving tasks …
Synthesizing text-to-SQL data from weak and strong LLMs
The capability gap between open-source and closed-source large language models (LLMs)
remains a challenge in text-to-SQL tasks. In this paper, we introduce a synthetic data …
remains a challenge in text-to-SQL tasks. In this paper, we introduce a synthetic data …
Enhancing network management using code generated by large language models
Analyzing network topologies and communication graphs is essential in modern network
management. However, the lack of a cohesive approach results in a steep learning curve …
management. However, the lack of a cohesive approach results in a steep learning curve …