~hackernoon | Bookmarks (1975)
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A Tool Overview of CGAAL: A Distributed On-The-Fly ATL Model Checker
This paper is available on arxiv under CC 4.0 license. The syntax of the language is...
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How CGAAL Model-Checks: A Deeper Insight
In order to check if a CGS satisfies an ATL property, CGAAL encodes the problem as...
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How to Stitch Your Own Safety Net: Bonding Together
The Dropout Early Warning System (DEWS) assesses every incoming high schooler in Wisconsin. It issues a...
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Getting Code Coverage Data for Each Request Coming to A Python Web Server
Code coverage is a metric used in software testing to measure the extent to which the...
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Skynet Is Not the One You Should Be Fearing - Fear Your Favourite Car Manufacturer Instead
Xaoimi, the smartphone OEM, has entered the electric vehicle arena with the SU7 and with it,...
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What Is Wrong With Token Rewards And How to Fix It
Token rewards have become a popular mechanism for incentivizing various behaviors. Despite their widespread adoption, token...
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"How Many Colors Can the Human Eye See?": The Application
For instance, from this graph, we can conclude that given the same time to complete the...
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Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection: Appendix
This appendix provides in-depth details on implementing hateful meme detection models, insights from ablation studies, visual...
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Hateful Meme Detection: Leveraging PVLMs for Zero-shot VQA Probing
This study explores using pre-trained vision-language models (PVLMs) for hateful meme detection without fine-tuning, showcasing BERT's...
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Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection
Pro-Cap introduces a novel approach to hateful meme detection by utilizing frozen Vision-Language Models (PVLMs) through...
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Performance Analysis of Diverse Hateful Meme Detection Datasets
We thoroughly evaluate and analyze the probing-based Pro-Cap method for hateful meme detection. Discover its performance...
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Comparing Hateful Meme Detection Models: BERT-based vs. PromptHate with Pro-Cap
Our method uses a probing-based approach to gather critical image details essential for detecting hateful content...
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Zero-Shot Visual Question Answering with PVLMs
This section defines the task of zero-shot visual question answering (VQA) and explores the use of...
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Navigating the Complexity of Hateful Meme Detection
Explore various methodologies in hateful meme detection, including fine-tuning PVLMs, model ensembling, and leveraging pre-trained models...
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Decrypting the Future: Programmable Cryptography And Its Role in Modern Tech
Programmable cryptography is still a new concept, but one that offers the chance to make very...
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Inside the dYdX Chain: Exploring the Future of Cryptocurrency Governance
Unveil the dynamic governance model of the dYdX Chain and how it empowers community involvement in...
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PIECHAIN Demo: Exploring a Practical Blockchain Interoperability Framework
PIECHAIN introduces a Kafka-based framework for blockchain interoperability, ensuring atomic cross-chain transactions and enabling practical applications...
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Learn How Free Apps Make Money
There are countless ways to profit from free apps. Monetization is the ability to earn from...
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Running Your Own Local LLMs: Updated for 2024 with 8 New Open Source Tools!
Think Local LLMs are beyond you? Guess again! They are more accessible than ever! An absolutely...
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Why PostgreSQL Is the Bedrock for the Future of Data
PostgreSQL's ascendancy as the go-to database standard is rooted in its adaptability, reliability, and extensive ecosystem....
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Understanding Scaling Law through Data Science Lenses
Despite the immense promise of LMs as task-neutral foundation models, initial endeavors to apply pre-trained LMs...
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A Comparative Algorithm Audit of Conspiracies on the Net: Conclusion and Bibliography
A comparative algorithm audit of the distribution of conspiratorial information in search results across five search...