AI
-
AI can help track an ever-growing body of vulnerabilities, CISA official says
Source: CyberScoopRead more: AI can help track an ever-growing body of vulnerabilities, CISA official saysCISA officials highlight the potential of artificial intelligence to manage and automate tracking of the rapidly growing number of software…
-
The AI Revolution Won’t Happen Overnight
Source: Harvard Business ReviewRead more: The AI Revolution Won’t Happen OvernightThe article argues that the AI revolution will be gradual rather than instantaneous. It emphasizes setting realistic expectations about timelines…
-
6 Ways AI Changed Business in 2024, According to Executives
Source: Harvard Business ReviewRead more: 6 Ways AI Changed Business in 2024, According to ExecutivesExecutives identify six distinct ways AI reshaped business in 2024. The piece compiles leadership perspectives on those changes to show…
-
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Source: arXiv AI PapersRead more: Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RLThe paper introduces Chain-of-Agents (CoA), a new paradigm enabling large language models (LLMs) to perform complex multi-agent problem-solving end-to-end within…
-
Cognitive Workspace: Active Memory Management for LLMs — An Empirical Study of Functional Infinite Context
Source: arXiv AI PapersRead more: Cognitive Workspace: Active Memory Management for LLMs — An Empirical Study of Functional Infinite ContextThe Cognitive Workspace paradigm introduces active memory management for Large Language Models (LLMs), surpassing traditional retrieval methods by emulating human…
-
A Hardware-oriented Approach for Efficient Active Inference Computation and Deployment
Source: arXiv AI PapersRead more: A Hardware-oriented Approach for Efficient Active Inference Computation and DeploymentThis work introduces a hardware-oriented method to improve Active Inference (AIF) computation, significantly reducing latency and memory usage. The approach…
-
The Interpretability Analysis of the Model Can Bring Improvements to the Text-to-SQL Task
Source: arXiv AI PapersRead more: The Interpretability Analysis of the Model Can Bring Improvements to the Text-to-SQL TaskThe paper introduces the CESQL model, which integrates interpretability analysis and execution-guided strategies to improve text-to-SQL parsing, particularly for WHERE…
-
Search-Time Data Contamination
Source: arXiv AI PapersRead more: Search-Time Data ContaminationSearch-time contamination (STC) occurs when search-based LLM agents retrieve evaluation data during query answering, compromising benchmark validity. This issue was…
-
QuickMerge++: Fast Token Merging with Autoregressive Prior
Source: arXiv AI PapersRead more: QuickMerge++: Fast Token Merging with Autoregressive PriorQuickMerge++ is a new token merging framework designed to improve efficiency in autoregressive generative models by dynamically selecting fewer tokens…
-
AI sustains higher strategic tension than humans in chess
Source: arXiv AI PapersRead more: AI sustains higher strategic tension than humans in chessThis study compares strategic tension in chess games played by humans and AI, finding that AI maintains higher strategic tension…