2 citations · 3 across the 5 of their papers we have counts for
5 papers
LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction Extension
Pingqing Zheng, Jiayin Qin, Fuqi Zhang +5
Domain-specific Instruction Set Architecture eXtensions (ISAX) are widely adopted in the RISC-V ecosystem to accelerate emerging workloads, but implementing and validating ISAXes a…
Sequential Bayesian Evaluation of Large Language Model Behavior
Rachel Longjohn, Shang Wu, Saatvik Kher +2
It is increasingly important to evaluate the characteristics of systems based on large language models (LLMs). Evaluations in this context often rely on a curated benchmark set of…
HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases
Pingqing Zheng, Jiayin Qin, Fuqi Zhang +7
Retrieval Augmented Generation (RAG) is an essential agent for Large Language Model (LLM) aided Description Language (HDL) tasks, addressing the challenges of limited training data…
OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
Haoyang Li, Shang Wu, Xiaokang Zhang +9
Text-to-SQL, the task of translating natural language questions into SQL queries, plays a crucial role in enabling non-experts to interact with databases. While recent advancements…
SoK: Prompt Hacking of Large Language Models
Baha Rababah, Shang, Wu +3
The safety and robustness of large language models (LLMs) based applications remain critical challenges in artificial intelligence. Among the key threats to these applications are…