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So uh this matx uh should be better but in our case it was not suitable because we trying to compare In this edition of CREATE SE4AI Trainee Talks, we hear from Concordia University graduate students Lin Ling and Junjie Li.

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Speaker: Sayan Ranu (Indian Institute of Technology Delhi) Topic: Learning to Compute Graph Similarity Are you ready to adapt to the rapidly evolving rules of software development? We're already hard at work preparing for next year's biggest Web3 event!

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  • Are you ready to adapt to the rapidly evolving rules of software development?
  • We're already hard at work preparing for next year's biggest Web3 event!
  • Speaker: Sayan Ranu (Indian Institute of Technology Delhi) Topic: Learning to Compute Graph Similarity
  • In this edition of CREATE SE4AI Trainee Talks, we hear from Concordia University graduate students Lin Ling and Junjie Li.

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Review Key Notes
Sergei Kharitontcev Beglov. LLM generated code correctness via program analysis

Sergei Kharitontcev Beglov. LLM generated code correctness via program analysis

So uh this matx uh should be better but in our case it was not suitable because we trying to compare

OpenChain Webinar - How big is the risk of using LLM-generated code?

OpenChain Webinar - How big is the risk of using LLM-generated code?

Read more details and related context about OpenChain Webinar - How big is the risk of using LLM-generated code?.

Learning to Compute Graph Similarity Using LLM generated Code

Learning to Compute Graph Similarity Using LLM generated Code

Speaker: Sayan Ranu (Indian Institute of Technology Delhi) Topic: Learning to Compute Graph Similarity

Using LLMs to Evaluate Code

Using LLMs to Evaluate Code

Read more details and related context about Using LLMs to Evaluate Code.

EP3 Can AI Find Hidden Dangers in Your Code? ๐Ÿค–๐Ÿ’ป LLMs vs. Software Vulnerabilities! (feat. Astrid)...

EP3 Can AI Find Hidden Dangers in Your Code? ๐Ÿค–๐Ÿ’ป LLMs vs. Software Vulnerabilities! (feat. Astrid)...

Read more details and related context about EP3 Can AI Find Hidden Dangers in Your Code? ๐Ÿค–๐Ÿ’ป LLMs vs. Software Vulnerabilities! (feat. Astrid)....

Investigating Social Bias in LLM-Generated Code + Fine-Tuning LLMs for Secure Code Generation

Investigating Social Bias in LLM-Generated Code + Fine-Tuning LLMs for Secure Code Generation

In this edition of CREATE SE4AI Trainee Talks, we hear from Concordia University graduate students Lin Ling and Junjie Li.

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-

The New Rules of Software Engineering (Google DeepMind Lead)

The New Rules of Software Engineering (Google DeepMind Lead)

Are you ready to adapt to the rapidly evolving rules of software development? In this deep dive, Logan Kilpatrick, Director and ...

Proving Correctness of LLM-Generated Smart Contracts | John  Toman - Certora

Proving Correctness of LLM-Generated Smart Contracts | John Toman - Certora

Get Ready for ETHDenver 2026! We're already hard at work preparing for next year's biggest Web3 event! Keep your eyes ...

GitHub code analysis using LangChains

GitHub code analysis using LangChains

LangChain is a framework built on the top of LLMs to make apps