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Neural Diversity: A Novel Approach to Curb Language Model Hallucinations

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The Verification-Value Paradox: Why AI’s Promise in Law May Be Overstated

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EA’s Generative AI Tools Reportedly Increase Development Costs Due to ‘Hallucinations’

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Audit-of-Understanding: A New Framework for Reliable Mathematical Reasoning in Language Models

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RetroTrim: Enhancing Retrosynthesis Reliability by Eliminating Hallucinations

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Google Unveils Data Commons MCP Server to Bolster AI with Verified Public Data

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Legal Sector Urged to Adopt AI with Deliberate Strategy Amidst Rising Usage

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Google Unveils Data Commons MCP Server, Revolutionizing AI Access to Public Data

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Unpacking GPT-4.1’s Knowledge: A Deep Dive into 100 Million Beliefs

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Deloitte’s AI Blunder: A Critical Mandate for Academic Integrity and Institutional Policy in the Age of Generative AI

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AI’s Future: Decentralization Challenges Big Tech’s Dominance Amidst Regulatory Scrutiny

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Making AI’s Self-Assessment More Reliable: New Ways to Evaluate Uncertainty in Language Models

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How Direct Copying Makes Language Models More Trustworthy

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Unlocking More Reliable AI Reasoning: A Solvability-Based Approach to Multiple-Choice Questions

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Apple’s Rigorous Pursuit of Factual Accuracy in Artificial Intelligence

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Enhancing Speech Synthesis Stability in LLM Models Through Attention Mechanisms

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Unveiling the Gap: Why LLM Chatbots Struggle to Connect Knowledge with Action

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Beyond the Hype: Assessing GPT-5’s Impact and the Critical Need for AI Security in Engineering

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Patients Turn to AI for Lab Result Interpretation, Raising Hopes and Concerns

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Cleanlab and Corridor Platforms Forge Alliance to Enhance Trust and Reliability in Financial Services AI

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University of Washington Study Reveals ChatGPT’s Ableist Bias in Job Applications

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Leading Reference Publishers and Japanese Media File Lawsuits Against Perplexity AI Over Copyright Infringement and Content Scraping

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Unveiling the Inner Workings: How AI Models Fabricate Information from Noise

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Monte Carlo Unveils Agent Observability for Unified AI Input and Output Monitoring

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OpenAI Advocates for Rewarding AI Uncertainty to Combat Hallucinations

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When More Thinking Doesn’t Mean More Truth: Test-Time Scaling’s Limits in AI Knowledge Tasks

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Monitoring Generative AI: A Knowledge Graph Method for Trustworthy Outputs

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Amazon Unveils Alexa+ with Advanced Generative AI for Seamless Conversations and Enhanced Shopping

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Generative AI Integration Soars in Higher Education: New Surveys Reveal Student Usage, Perceptions, and Institutional Challenges

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Cognizant Launches Major Initiative with Workfabric AI to Scale Agentic AI Through 1,000 ‘Context Engineers’

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