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 …
Securing large language models: Addressing bias, misinformation, and prompt attacks
Large Language Models (LLMs) demonstrate impressive capabilities across various fields,
yet their increasing use raises critical security concerns. This article reviews recent literature …
yet their increasing use raises critical security concerns. This article reviews recent literature …
Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution
S Liu, W Fang, Y Lu, Q Zhang… - 2024 IEEE LLM Aided …, 2024 - ieeexplore.ieee.org
The automatic generation of RTL code (eg, Verilog) using natural language instructions and
large language models (LLMs) has attracted significant research interest recently. However …
large language models (LLMs) has attracted significant research interest recently. However …
Assertllm: Generating and evaluating hardware verification assertions from design specifications via multi-llms
Assertion-based verification (ABV) is a critical method for ensuring design circuits comply
with their architectural specifications, which are typically described in natural language. This …
with their architectural specifications, which are typically described in natural language. This …
Data is all you need: Finetuning llms for chip design via an automated design-data augmentation framework
Recent advances in large language models have demonstrated their potential for automated
generation of hardware description language (HDL) code from high-level prompts …
generation of hardware description language (HDL) code from high-level prompts …
[PDF][PDF] Multimodal integration in large language models: A case study with mistral llm
F Hamzah, N Sulaiman - 2024 - files.osf.io
This work presents significant advancements in the multimodal capabilities of the Mistral
8x7B model, a large language model designed with eight experts of seven billion …
8x7B model, a large language model designed with eight experts of seven billion …
Large language model for multi-objective evolutionary optimization
Multiobjective evolutionary algorithms (MOEAs) are major methods for solving multiobjective
optimization problems (MOPs). Many MOEAs have been proposed in the past decades, of …
optimization problems (MOPs). Many MOEAs have been proposed in the past decades, of …
Mg-verilog: Multi-grained dataset towards enhanced llm-assisted verilog generation
Large Language Models (LLMs) have recently shown promise in streamlining hardware
design processes by encapsulating vast amounts of domain-specific data. In addition, they …
design processes by encapsulating vast amounts of domain-specific data. In addition, they …
An example of evolutionary computation+ large language model beating human: Design of efficient guided local search
It is often very tedious for human experts to design efficient algorithms. Recently, we have
proposed a novel Algorithm Evolution using Large Language Model (AEL) framework for …
proposed a novel Algorithm Evolution using Large Language Model (AEL) framework for …
A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
The pursuit of more intelligent and credible autonomous systems, akin to human society, has
been a long-standing endeavor for humans. Leveraging the exceptional reasoning and …
been a long-standing endeavor for humans. Leveraging the exceptional reasoning and …