World PulseNow
Newsletter

Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs

arXiv — cs.CL•Wednesday, October 29, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A new approach to product quality assessment in e-commerce has emerged, utilizing a training-free cascade of Large Language Models (LLMs) for auto-prompting. This innovative system eliminates the need for training labels or fine-tuning, allowing it to automatically generate and refine prompts to evaluate product attributes across numerous categories. By starting with human-crafted prompts, the cascade enhances its instructions, making it a significant advancement for online retailers looking to improve product listings and customer satisfaction.
— Curated by the World Pulse Now AI Editorial System
Read Original

Was this article worth reading? Share it

Recommended Readings
Conversion Optimization: How to Build a Subscription Page That Actually Converts
DEV Community10 hours ago
Conversion Optimization: How to Build a Subscription Page That Actually Converts
PositiveArtificial Intelligence
In the digital economy, the subscription model is key for sustainable business growth, transforming one-time users into loyal customers. This article highlights the importance of a well-designed subscription page, which serves as a crucial decision point for potential subscribers. By optimizing this page, businesses can significantly enhance their conversion rates, making it a vital aspect of their overall strategy.
Read full article
via DEV Community
RiddleBench: A New Generative Reasoning Benchmark for LLMs
arXiv — cs.CL13 hours ago
RiddleBench: A New Generative Reasoning Benchmark for LLMs
PositiveArtificial Intelligence
RiddleBench is an exciting new benchmark designed to evaluate the generative reasoning capabilities of large language models (LLMs). While LLMs have excelled in traditional reasoning tests, RiddleBench aims to fill the gap by assessing more complex reasoning skills that mimic human intelligence. This is important because it encourages the development of AI that can think more flexibly and integrate various forms of reasoning, which could lead to more advanced applications in technology and everyday life.
Read full article
via arXiv — cs.CL
Topic-aware Large Language Models for Summarizing the Lived Healthcare Experiences Described in Health Stories
arXiv — cs.CL13 hours ago
Topic-aware Large Language Models for Summarizing the Lived Healthcare Experiences Described in Health Stories
PositiveArtificial Intelligence
A recent study explores how Large Language Models (LLMs) can enhance our understanding of healthcare experiences through storytelling. By analyzing fifty narratives from African American storytellers, researchers aim to uncover underlying factors affecting healthcare outcomes. This approach not only highlights the importance of personal stories in identifying gaps in care but also suggests potential avenues for intervention, making it a significant step towards improving healthcare equity.
Read full article
via arXiv — cs.CL
When Truthful Representations Flip Under Deceptive Instructions?
arXiv — cs.LG13 hours ago
When Truthful Representations Flip Under Deceptive Instructions?
NeutralArtificial Intelligence
Recent research highlights the challenges posed by large language models (LLMs) when they follow deceptive instructions, leading to potentially harmful outputs. This study delves into how these models' internal representations can shift from truthful to deceptive, which is crucial for understanding their behavior and improving safety measures. By exploring this phenomenon, the findings aim to enhance our grasp of LLMs and inform better guidelines for their use, ensuring they remain reliable tools in various applications.
Read full article
via arXiv — cs.LG
Secure Retrieval-Augmented Generation against Poisoning Attacks
arXiv — cs.LG13 hours ago
Secure Retrieval-Augmented Generation against Poisoning Attacks
NeutralArtificial Intelligence
Recent advancements in large language models (LLMs) have significantly enhanced natural language processing, leading to innovative applications. However, the introduction of Retrieval-Augmented Generation (RAG) has raised concerns about security, particularly regarding data poisoning attacks that can compromise the integrity of these systems. Understanding these risks and developing effective defenses is crucial for ensuring the reliability of LLMs in various applications.
Read full article
via arXiv — cs.LG
Confidence is Not Competence
arXiv — cs.CL13 hours ago
Confidence is Not Competence
NeutralArtificial Intelligence
A recent study on large language models (LLMs) highlights a significant gap between their confidence levels and actual problem-solving abilities. By examining the internal states of these models during different phases, researchers have uncovered a structured belief system that influences their performance. This finding is crucial as it sheds light on the limitations of LLMs, prompting further exploration into how these models can be improved for better accuracy and reliability in real-world applications.
Read full article
via arXiv — cs.CL
Iti-Validator: A Guardrail Framework for Validating and Correcting LLM-Generated Itineraries
arXiv — cs.CL13 hours ago
Iti-Validator: A Guardrail Framework for Validating and Correcting LLM-Generated Itineraries
PositiveArtificial Intelligence
The introduction of the Iti-Validator framework marks a significant step forward in enhancing the reliability of itineraries generated by Large Language Models (LLMs). As these models become increasingly capable of creating complex travel plans, ensuring their temporal and spatial accuracy is crucial for users. This research not only highlights the challenges faced by LLMs in generating consistent itineraries but also provides a solution to improve their performance, making travel planning more efficient and trustworthy.
Read full article
via arXiv — cs.CL
Parallel Loop Transformer for Efficient Test-Time Computation Scaling
arXiv — cs.CL13 hours ago
Parallel Loop Transformer for Efficient Test-Time Computation Scaling
PositiveArtificial Intelligence
A new study introduces the Parallel Loop Transformer, a significant advancement in the efficiency of large language models during inference. Traditional looped transformers, while effective in reducing parameters, suffer from increased latency and memory demands as loops stack up. This innovation addresses those issues, allowing for faster and more practical applications of AI in real-world scenarios. This matters because it could enhance the usability of AI technologies across various industries, making them more accessible and efficient.
Read full article
via arXiv — cs.CL
Latest from Artificial Intelligence
Immersive productivity with Windows and Meta Quest: Now generally available
Windows Blogan hour ago
Immersive productivity with Windows and Meta Quest: Now generally available
PositiveArtificial Intelligence
Exciting news for tech enthusiasts! The Mixed Reality Link and Windows App for Meta Quest are now generally available, allowing users to harness the full capabilities of Windows 11 and Windows 365 on mixed reality headsets. This development is significant as it enhances productivity and offers a new way to interact with digital environments, making work more immersive and engaging.
Read full article
via Windows Blog
From Generative to Agentic AI
Databricks Blogan hour ago
From Generative to Agentic AI
PositiveArtificial Intelligence
ScaleAI is making significant strides in the field of artificial intelligence, showcasing how enterprise leaders are effectively leveraging generative and agentic AI technologies. This progress is crucial as it highlights the potential for businesses to enhance their operations and innovate, ultimately driving growth and efficiency in various sectors.
Read full article
via Databricks Blog
Delta Sharing Top 10 Frequently Asked Questions, Answered - Part 1
Databricks Blogan hour ago
Delta Sharing Top 10 Frequently Asked Questions, Answered - Part 1
PositiveArtificial Intelligence
Delta Sharing is experiencing remarkable growth, boasting a 300% increase year-over-year. This surge highlights the platform's effectiveness in facilitating data sharing across organizations, making it a vital tool for businesses looking to enhance their analytics capabilities. As more companies adopt this technology, it signifies a shift towards more collaborative and data-driven decision-making processes.
Read full article
via Databricks Blog
Beyond the Partnership: How 100+ Customers Are Already Transforming Business with Databricks and Palantir
Databricks Blog2 hours ago
Beyond the Partnership: How 100+ Customers Are Already Transforming Business with Databricks and Palantir
PositiveArtificial Intelligence
The recent partnership between Databricks and Palantir is already making waves, with over 100 customers leveraging their combined strengths to transform their businesses. This collaboration not only enhances data analytics capabilities but also empowers organizations to make more informed decisions, driving innovation and efficiency. It's exciting to see how these companies are shaping the future of business through their strategic alliance.
Read full article
via Databricks Blog
WhatsApp will let you use passkeys for your backups
Engadget4 hours ago
WhatsApp will let you use passkeys for your backups
PositiveArtificial Intelligence
WhatsApp is enhancing its security features by allowing users to utilize passkeys for their backups. This update is significant as it adds an extra layer of protection for personal data, making it harder for unauthorized access. With cyber threats on the rise, this move reflects WhatsApp's commitment to user privacy and security, ensuring that sensitive information remains safe.
Read full article
via Engadget
Why Standard-Cell Architecture Matters for Adaptable ASIC Designs
EE Times4 hours ago
Why Standard-Cell Architecture Matters for Adaptable ASIC Designs
PositiveArtificial Intelligence
The article highlights the significance of standard-cell architecture in adaptable ASIC designs, emphasizing its benefits such as being fully testable and foundry-portable. This innovation is crucial for developers looking to create flexible and reliable hardware solutions without hidden risks, making it a game-changer in the semiconductor industry.
Read full article
via EE Times