2 citations · 3 across the 8 of their papers we have counts for
8 papers
VERIRL: Boosting the LLM-based Verilog Code Generation via Reinforcement Learning
Fu Teng, Miao Pan, Xuhong Zhang +6
Recent advancements in code generation have shown remarkable success across software domains, yet hardware description languages (HDLs) such as Verilog remain underexplored due to…
HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers
Yiyao Yang, Fu Teng, Pengju Liu +5
Recently, the use of large language models (LLMs) for Verilog code generation has attracted great research interest to enable hardware design automation. However, previous works ha…
MASIM: An Efficient Multi-Array Scheduler for In-Memory SIMD Computation
Xingyue Qian, Chen Nie, Zhezhi He +1
Single instruction, multiple data (SIMD) is a popular design style of in-memory computing (IMC) architectures, which enables memory arrays to perform logic operations to achieve lo…
High-Quality Iterative Logic Compiler for In-Memory SIMD Computation with Tight Coupling of Synthesis and Scheduling
Xingyue Qian, Chenyang Lv, Zhezhi He +1
In-memory computing (IMC) with single instruction multiple data (SIMD) setup enables memory to perform operations on the stored data in parallel to achieve high throughput and ener…
Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion
Jiahao Su, Kang You, Zekai Xu +2
Spiking neural networks (SNNs) are becoming a promising alternative to conventional artificial neural networks (ANNs) due to their rich neural dynamics and the implementation of en…
Open Role-Playing with Delta-Engines
Hongqiu Wu, Zekai Xu, Tianyang Xu +5
Game roles can be reflections of personas from a parallel world. In this paper, we propose a new style of game-play to bridge self-expression and role-playing: \emph{open role-play…