6 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…
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…
Bayesian Evaluation of Large Language Model Behavior
Rachel Longjohn, Shang Wu, Saatvik Kher +2
It is increasingly important to evaluate how text generation systems based on large language models (LLMs) behave, such as their tendency to produce harmful output or their sensiti…
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…
Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025
Zonghao Ying, Siyang Wu, Run Hao +44
Multimodal Large Language Models (MLLMs) have enabled transformative advancements across diverse applications but remain susceptible to safety threats, especially jailbreak attacks…
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…