Creating Effective Integration Tests: Best Practices and Tools Within the Spring Framework

In modern software development, effective testing plays a key role in ensuring the reliability and stability of applications. This article offers practical recommendations for writing integration tests, demonstrating how to focus on the specifications of interactions with external services, making the tests more readable and easier to maintain. The approach not only enhances the efficiency … Read more

Quantum Computing Needs More Software Engineers

This article is inspired by the need for more Software Engineers in quantum computing. Not to mention the other Developers, UX Designers, QA Testers, Product Managers and all the rest of the talent that makes it possible to ship a real product to real customers. Especially products in Deep Tech and Frontier Tech like quantum … Read more

How Maven’s AI-run ‘serendipity network’ can make social media interesting again

Everything in society can feel geared toward optimization – whether that’s standardized testing or artificial intelligence algorithms. We’re taught to know what outcome you want to achieve, and find the path towards getting there.  Kenneth Stanley, a former OpenAI researcher and co-founder of a new social media platform called Maven, has been preaching for years … Read more

Seeing the real world inside a virtual one

Image: Samar Haddad / The Verge From the earliest pixelated games to the outrageously realistic experiences of today, flight simulators have always been pushing the boundaries of what can be visually recreated in a video game. It’s one thing to make space look good; it’s another thing entirely to faithfully recreate the cockpit of a … Read more

A Summarize-then-Search Method for Long Video Question Answering: Method

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Jiwan Chung, MIR Lab Yonsei University (https://jiwanchung.github.io/); (2) Youngjae Yu, MIR Lab Yonsei University (https://jiwanchung.github.io/). ::: Table of Links Abstract and Intro Method Experiments Related Work Conclusion Limitations and References A. Experiment Details B. Prompt Samples 2. Method 2.1. Plot Generation 2.2. … Read more

A Summarize-then-Search Method for Long Video Question Answerin Experiment Details

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Jiwan Chung, MIR Lab Yonsei University (https://jiwanchung.github.io/); (2) Youngjae Yu, MIR Lab Yonsei University (https://jiwanchung.github.io/). ::: Table of Links Abstract and Intro Method Experiments Related Work Conclusion Limitations and References A. Experiment Details B. Prompt Samples A. Experiment Details Computational Budget. Long … Read more

A Summarize-then-Search Method for Long Video Question Answering: Conclusion

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Jiwan Chung, MIR Lab Yonsei University (https://jiwanchung.github.io/); (2) Youngjae Yu, MIR Lab Yonsei University (https://jiwanchung.github.io/). ::: Table of Links Abstract and Intro Method Experiments Related Work Conclusion Limitations and References A. Experiment Details B. Prompt Samples 5. Conclusion We introduced Long Story … Read more

A Summarize-then-Search Method for Long Video Question Answering: Prompt Samples

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Jiwan Chung, MIR Lab Yonsei University (https://jiwanchung.github.io/); (2) Youngjae Yu, MIR Lab Yonsei University (https://jiwanchung.github.io/). ::: Table of Links Abstract and Intro Method Experiments Related Work Conclusion Limitations and References A. Experiment Details B. Prompt Samples B. Prompt Samples We use the … Read more

A Summarize-then-Search Method for Long Video Question Answering: Experiments

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Jiwan Chung, MIR Lab Yonsei University (https://jiwanchung.github.io/); (2) Youngjae Yu, MIR Lab Yonsei University (https://jiwanchung.github.io/). ::: Table of Links Abstract and Intro Method Experiments Related Work Conclusion Limitations and References A. Experiment Details B. Prompt Samples 3. Experiments For all experiments, we … Read more

The F*ck It Effect

You know that feeling when, in a moment of decision paralysis, you finally say to yourself ‘Fuck it’ and actually do the thing? Chances are, you’ve felt that “Fuck it” moment more than once in your life. Maybe it was deciding to walk out on the Barbie movie, even though those tickets costs you 30 … Read more

A Summarize-then-Search Method for Long Video Question Answering: Limitations & References

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Jiwan Chung, MIR Lab Yonsei University (https://jiwanchung.github.io/); (2) Youngjae Yu, MIR Lab Yonsei University (https://jiwanchung.github.io/). ::: Table of Links Abstract and Intro Method Experiments Related Work Conclusion Limitations and References A. Experiment Details B. Prompt Samples 6. Limitations Our study has some … Read more

The Transformer Algorithm with the Lowest Optimal Time Complexity Possible

Comparing Attention, Mamba, Jamba, and the xLSTM Prologue We are only talking about time complexity in this article – deliberately. For space complexity, refer to my article on 1-bit transformers, available here: https://hackernoon.com/why-1-bit-transformers-will-change-the-world?embedable=true Introduction We are racing forward into the future as far as Generative AI technology is concerned and the algorithms behind Large language … Read more

A Summarize-then-Search Method for Long Video Question Answering: Abstract & Intro

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Jiwan Chung, MIR Lab Yonsei University (https://jiwanchung.github.io/); (2) Youngjae Yu, MIR Lab Yonsei University (https://jiwanchung.github.io/). ::: Table of Links Abstract and Intro Method Experiments Related Work Conclusion Limitations and References A. Experiment Details B. Prompt Samples Abstract Large language models such as … Read more

A Summarize-then-Search Method for Long Video Question Answering: Related Work

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Jiwan Chung, MIR Lab Yonsei University (https://jiwanchung.github.io/); (2) Youngjae Yu, MIR Lab Yonsei University (https://jiwanchung.github.io/). ::: Table of Links Abstract and Intro Method Experiments Related Work Conclusion Limitations and References A. Experiment Details B. Prompt Samples 4. Related Work Movie Summarization Movies … Read more