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

[Vassilis Tsotras]

Reminder for the next AI Seminar, which will be tomorrow Friday April 
11, at noon (MRB Seminar Room).

Please use the link below to register if you plan to attend.

Sincerely,

V. Tsotras

-------------------------------------------
On 2025-04-05 11:02, Vassilis Tsotras wrote:
> 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.
> 
> 
> ------------------------------------
> 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
> --