The Eigenvalues Entropy as a Classifier Evaluation Measure

This article discusses a new automated framework designed to discover, retrieve, and evolve strategies for addressing jailbreak attacks on large language models. It highlights the importance of security in web services and presents a strategy that can bypass existing defenses, shedding light on a critical area of research.

A new study highlights the benefits of query augmentation, which enhances the relevance of search queries by adding useful information. It focuses on Large Language Model-based embedders that improve both representation and generation for better query results. This innovative approach shows promise in making search queries more effective.

As AI models gain value, the risk of model weight theft from inference servers increases. This article explores how to verify model responses to prevent such attacks and detect any unusual behavior during inference.

ScenicProver is a new framework designed to tackle the challenges of verifying learning-enabled cyber-physical systems. It addresses the limitations of existing tools by allowing for compositional analysis using various verification techniques, making it easier to work with complex real-world environments.

PrivGNN is a groundbreaking approach that enhances the security of graph neural networks in privacy-sensitive cloud environments. By developing secure inference protocols, it addresses the critical need for protecting sensitive graph-structured data, paving the way for safer and more efficient data analysis.

Recent research highlights the challenges faced by medical chatbots, particularly regarding biases and errors in their responses. While these systems are designed to provide consistent medical advice, factors like demographic information can impact their performance. This study aims to explore the conditions under which these chatbots may fail, emphasizing the need for improved infrastructure to address these issues.

Re-FORC is an innovative adaptive reward prediction method that enhances reasoning models by predicting future rewards based on thinking tokens. It allows for early stopping of ineffective reasoning chains, leading to a 26% reduction in compute while preserving accuracy. This advancement showcases the potential for more efficient AI reasoning.

AutoAdv is a groundbreaking framework designed to enhance the security of large language models against jailbreaking attacks. By focusing on multi-turn interactions, it achieves an impressive 95% success rate in eliciting harmful outputs, marking a significant improvement over traditional single-turn evaluations.

The FTSE 100 has had an impressive run in 2025, but the upcoming Autumn Budget poses a significant risk to its gains. Investors are concerned that potential changes in fiscal policy could disrupt the market's momentum, making it crucial to monitor how these developments unfold.

Commonwealth Bank is facing backlash after being awarded its fourth CHOICE Shonky Award for refusing to refund $270 million in illegal fees to 2.2 million low-income customers on Centrelink payments from 2019 to 2024. While ANZ has refunded nearly $48 million, CommBank has only compensated $25 million to Indigenous customers and has turned down the rest. This situation highlights the disparity in how banks treat their customers, especially those in vulnerable positions, raising questions about corporate responsibility and ethics.

Australia has made a significant leap in technology by opening the world's first commercial quantum diamond factory in Melbourne, backed by $31 million in government funding. This facility by Quantum Brilliance is set to produce lab-grown diamonds specifically for room-temperature quantum computers, paving the way for advancements in specialized manufacturing and technology insurance. This development not only positions Australia as a leader in quantum technology but also opens up new avenues for innovation and economic growth.

If you're an LLM engineer, you'll want to check out these five free must-read books that delve into essential topics like theory, systems, linguistics, interpretability, and security. These resources are invaluable for enhancing your understanding and skills in the rapidly evolving field of large language models, making them a great addition to your professional toolkit.

The Databricks Free Edition Hackathon is an exciting opportunity for developers and students to showcase their creativity in data and AI. By providing free access to powerful tools, Databricks is fostering innovation and collaboration worldwide. This initiative not only empowers participants to explore new ideas but also highlights the potential of data-driven solutions in various industries, making it a significant event for the tech community.

Walmart has kicked off the holiday shopping season by unveiling its early Black Friday deals for 2025, showcasing a variety of discounts on popular items like TVs and headphones. This is significant as it gives shoppers a head start on their holiday shopping, allowing them to snag great deals before the rush. With more than 20 sales already live, customers can expect to find substantial savings, making it an exciting time for bargain hunters.