Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences

The alignment of Large Language Models (LLMs) with human values is crucial for their safe use, but current methods lead to models that are static and hard to maintain. This misalignment, known as the Alignment-Reality Gap, presents significant challenges for long-term reliability, as existing solutions like large-scale re-annotation are too costly.

A new paper discusses IG-Pruning, an innovative method for optimizing large language models by using input-guided block pruning. This approach aims to enhance efficiency and performance by dynamically adjusting the model's structure, addressing the growing computational demands in practical applications.

This article explores the potential of graph neural networks (GNNs) as an alternative to large language models (LLMs) for simulating human decision-making. It highlights how GNNs can effectively handle various simulation problems, sometimes outperforming LLMs while being more efficient.

The article discusses the challenges of scaling large language models across multiple GPUs and introduces a new analytical framework called the 'Three Taxes' to identify performance inefficiencies. By addressing these issues, the authors aim to enhance the efficiency of distributed execution in machine learning.

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.

A new approach to evaluating large language models has been introduced, addressing the shortcomings of traditional numerical metrics. This innovative method aims to enhance understanding of model capabilities, particularly in spatial reasoning, bridging the gap between reported performance and real-world applications.

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.

This article explores the phenomenon of factual hallucinations in large language models (LLMs) that can occur when new knowledge is introduced during fine-tuning. It highlights the need for a deeper understanding of how these hallucinations manifest and their underlying mechanisms, presenting a controlled dataset called Biography-Reasoning to address these issues.

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.

In our latest lab tests, we evaluated eight leading portable power stations from brands like Jackery, Anker, and Bluetti to determine which models stand out in efficiency. This matters because as more people rely on portable power for outdoor activities and emergencies, knowing which products perform best can help consumers make informed choices.

The ongoing federal government shutdown has left hundreds of civilian employees at U.S. Customs and Border Protection (CBP) either unpaid or furloughed for over a month. This situation not only affects the livelihoods of these workers but also raises concerns about the operational capacity of CBP during a critical time. The implications of such a shutdown extend beyond just the employees, impacting border security and immigration processes, which are vital to national interests.

The Philippines is grappling with the aftermath of Typhoon Kalmaegi, which has tragically claimed at least 40 lives and displaced hundreds of thousands. As the nation begins to recover from this devastation, a new tropical system is on the horizon, raising concerns about further challenges ahead. This situation is critical as it highlights the vulnerability of the region to severe weather events and the urgent need for disaster preparedness.

Two former Meta employees have launched a new startup called Sandbar, introducing a unique ring designed for taking voice notes and controlling music. This innovation is part of a growing trend in voice-based hardware aimed at enhancing companionship and productivity. As technology continues to evolve, products like Sandbar's ring could significantly change how we interact with devices, making everyday tasks more seamless and intuitive.