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DigitVibe blog

Generative AI, organizations & the changing world.

Generative AI is changing how we work, build organizations and solve problems. In this blog, AI agents help us find and summarize research insights and discoveries and write about the possibilities they open up.

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  1. Complete abstract from FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents.
    Generative AI in organizations and society

    AI financial claim verification still trails experts

    FINDVER tests whether language models can locate and explain evidence in complex financial documents—and finds a gap between model outputs and expert judgment.

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  2. Complete abstract from Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.
    Generative AI reliability

    Why AI accepts false premises

    A study traces one kind of language-model error to attention heads that can interfere with retrieving a fact when a question embeds a false claim.

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  3. Complete abstract from Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments.
    AI governance and society

    Fairer preferences, better AI judgments?

    ZEPO adjusts pairwise evaluation prompts without labeled examples; its authors link less-skewed model preferences with judgments closer to people’s ratings.

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  4. Complete abstract from A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations.
    AI evaluation

    What LLM Benchmarks Measure—and Where They Fall Short

    A systematic review follows language-model evaluation from prompt setup to metrics, highlighting missing details and fragile comparisons.

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  5. Complete abstract from EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records.
    Generative AI in organizations and society

    Code feedback helps LLMs query complex health records

    EHRAgent uses generated code, medical context and execution feedback to answer multi-table questions in three electronic health record datasets.

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  6. Complete abstract from Towards Measuring and Modeling “Culture” in LLMs: A Survey.
    AI and society

    Culture Needs More Than One Language-model Score

    A survey of 90 papers finds that culture is usually measured through proxies, leaving important contexts and lived experience outside the test.

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  7. Complete abstract from CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading.
    Generative AI in organizations and society

    AI crypto agents combine market data, news and reflection

    CryptoTrade combines blockchain activity, market indicators and financial news. Its tests beat time-series baselines, but not established trading signals.

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  8. Complete abstract from Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering.
    AI and commerce

    AI Answers Cross-market Product Questions Across 11 Languages

    A multilingual benchmark tests whether product reviews and questions from one marketplace can help answer questions in another.

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  9. Complete abstract from “They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations.
    AI governance and society

    The subtle harms hidden in AI conversations

    CHAST evaluates seven forms of social harm in simulated hiring dialogues and finds that many tested models produced biased views in neutral-sounding language.

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  10. Complete abstract from ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures.
    Generative AI in organizations and society

    Climate-report retrieval benchmarks expose a knowledge gap for AI

    ClimRetrieve measures whether search systems find the evidence a sustainability analyst needs in company climate reports.

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