In the rapidly evolving world of blockchain systems, the efficient development and maintenance of smart contracts has become a critical task. Smart contract code summarization can significantly facilitate the maintenance of smart contracts and mitigate their vulnerabilities. Large Language Models (LLMs), such as GPT-4o and Gemini-1.5-Pro, possess the capability to generate code summarizations from code examples embedded in prompts. However, the performance of LLMs in code summarization remains s...

This study introduces a simple yet effective method for identifying similar data points across non-free text domains, such as tabular and image data, using Large Language Models (LLMs). Our two-step approach involves data point summarization and hidden state extraction. Initially, data is condensed via summarization using an LLM, reducing complexity and highlighting essential information in sentences. Subsequently, the summarization sentences are fed through another LLM to extract hidden states,...

New partners Anthropic, Google Cloud, and Snowflake join Clouderas AI Ecosystem atEVOLVE24 New York event Ecosystem of technology providers makes it easier, more economical, and safer for enterprises to maximize the value of AI initiatives Cloudera, ...

Text summarization, a key natural language generation (NLG) task, is vital in various domains. However, the high cost of inaccurate summaries in risk-critical applications, particularly those involving human-in-the-loop decision-making, raises concerns about the reliability of uncertainty estimation on text summarization (UE-TS) evaluation methods. This concern stems from the dependency of uncertainty model metrics on diverse and potentially conflicting NLG metrics. To address this issue, we int...

The rapid increase in unstructured data across various fields has made multi-document comprehension and summarization a critical task. Traditional approaches often fail to capture relevant context, maintain logical consistency, and extract essential information from lengthy documents. This paper explores the use of Long-context Large Language Models (LLMs) for multi-document summarization, demonstrating their exceptional capacity to grasp extensive connections, provide cohesive summaries, and ad...

Hailuo AI is stepping up its game, and it 8217 s got creators paying attention. The Chinese startup MiniMax has launched the Image to Video img2video feature on the web, giving artists new way to turn still images into dynamic video content. This ...

Getty ImagesOn Oct. 7, 2023, the U.S. Central Command, which is responsible for defense operations in the Middle East and Central Asia, was stunned when Hamas attacked Israel, setting off brutal war in Gaza.With Iran backed militias increasingly atta...

Aiming to deliver end to end service automation, Oracle on Wednesday unveiled new agentic AI capabilities for Oracle Fusion Cloud Service and Oracle Fusion Field Service. Oracle said the new AI driven workflows will help service teams increase servic...

ChatGPT has garnered significant interest due to its impressive performance; however, there is growing concern about its potential risks, particularly in the detection of AI-generated content (AIGC), which is often challenging for untrained individuals to identify. Current datasets used for detecting ChatGPT-generated text primarily focus on question-answering tasks, often overlooking tasks with semantic-invariant properties, such as summarization, translation, and paraphrasing. In this paper, w...

Developers create pull request (PR) descriptions to provide an overview of their changes and explain the motivations behind them. These descriptions help reviewers and fellow developers quickly understand the updates. Despite their importance, some developers omit these descriptions. To tackle this problem, we propose an automated method for generating PR descriptions based on commit messages and source code comments. This method frames the task as a text summarization problem, for which we util...