[AI Seminar Series] Seminar by Prof. Jishen Zhao, UCSD, Friday April 11, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Dear colleagues,
the next AI Seminar is on Friday April 11, 12:00-1:00pm at the MRB 
Seminar Room (1st floor).

**** Pizza and refreshments will be provided ****

To keep track of the number of attendees, please *register* at:
https://www.eventbrite.com/e/ai-seminar-series-tickets-1314004134739

The talk will be given by by Prof. Jishen Zhao, Computer Science and 
Engineering, UC San Diego

TITLE:
"LLM Multi-Agent Frameworks for Automated Validation, Repair, and 
Optimization of Real-World Software and Hardware Programs"


ABSTRACT:
Large language models (LLMs) like Claude Sonnet 3.7, GPT-4, Llama 3.1, 
and Gemini 2.5 have shown promise in AI-assisted coding, transforming 
natural language descriptions into code. While LLMs perform well on 
simple benchmarks like LeetCode, MBPP, and HumanEval, their success rate 
remains low in real-world software and hardware development. Complex 
dependencies, mixed languages, and hardware/software constraints present 
significant challenges. To bridge this gap, we are exploring LLM 
multi-agent frameworks to assist the development, validation, and 
optimization of software and hardware programs. This talk will present 
our recent progress on two sets of problems. First, I will introduce an 
LLM agent framework for software issue localization, called OrcaLoca. It 
addresses the challenge of precisely identifying software problems 
within large codebases by integrating priority-based action scheduling, 
action decomposition with relevance scoring, and distance-aware context 
pruning. Through these mechanisms, OrcaLoca improves the accuracy and 
efficiency of navigating and understanding complex software repositories 
to locate bugs. Second, I will introduce our LLM agentic workflow for 
Verilog RTL design: VeriAssist enables the LLM to self-correct and 
self-verify the generated RTL code by adopting an automatic prompting 
system and integrating RTL simulator in the code generation loop; MAGE 
is a multi-agent system designed for robust and accurate Verilog RTL 
code generation. I will also discuss insights gained through our studies 
about LLM's ability in addressing complex real-world programming 
problems.



Bio:

Jishen Zhao is a Professor in the Computer Science and Engineering 
Department at University of California, San Diego. Her research is at 
the boundary of computer systems and machine learning, particularly on 
memory systems, machine learning and systems co-design, and reliability. 
Before joining academia, she was a research scientist at HP Labs. She is 
a recipient of NSF CAREER award, AWS AI Amazon Research Award (ARA), 
many best paper awards, and a member of MICRO Hall of Fame.


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Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents 
speakers working on cutting edge Foundational AI or apply AI in their 
research. The goal of these seminars is to inform the UCR community 
about current trends in AI research and promote collaborations between 
faculty in this emerging field.
These seminars are open to interested faculty and graduate students. 
Please forward this email to other colleagues or graduate students in 
your lab that may be interested. After the seminar a discussion will 
follow for questions, open problems, ideas for possible collaborations 
etc.

Sincerely,
Vassilis Tsotras
Professor, CSE Department
co-Director, RAISE at UCR Institute

Amit Roy-Chowdhury
Professor, ECE Department
co-Director, RAISE at UCR Institute
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