My new video analysis: How We Could Survive in a Post-Collapse World youtu.be/MFN_uhcBZ1k?... My name is Beckwith. Paul Beckwith. #climate #ClimateCrisis #ClimateEmergency #NewZealand #Ireland #Iceland #UK #Tasmania #Australia #Canada #USA #preppers #Survivor
: A Question Answering Benchmark with Long Clinical Documents.
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Jan 2021 – Dec 2025Where it's discussed
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YouTube9 videos
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X / Twitter5 posts
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Bluesky2 posts
AI synopsis
What people are saying
The analysis reflects a focus on survival and climate discussions, exemplified by mentions of post-collapse worlds and climate crises, which are only loosely connected to the publication about clinical document processing. The choice of words such as 'good news' and 'how humans might survive' indicates a tone of optimism and concern for future scenarios rather than technical or scientific critique, contributing to a neutral impact assessment.
The discussions demonstrate minimal direct agreement or disagreement with the article; most comments are tangential or unrelated.
People show moderate interest primarily in survival scenarios or environmental topics, rather than the technical details of the publication.
Engagement appears superficial, as posts mainly share links or mention related topics without deep analysis of the research.
The overall influence of these discussions on the scientific or clinical community seems negligible, focusing more on survival and climate issues than on healthcare NLP advancements.
Abstract in brief
- The study introduces a new benchmark with 20 fictional long clinical cases, each containing over 5000 words, to evaluate how well large language models (LLMs) can process complex healthcare documents through 400 questions focused on information extraction, negation, and sorting.
- Eleven open-source LLMs and OpenAI's GPT-3.5 Turbo were tested, with the best results achieved by MistralSmall24B and Llama4Scout17B16EInstruct, especially in retrieving information from single or multiple documents.
- Despite some success, all models struggled with tasks that involved identifying missing information, indicating a significant gap in current LLM capabilities that needs addressing before these models can be reliably used in clinical settings.
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Most liked on X and BlueskyNewest video on sleeper sharks out now: https://t.co/6Kudx7aN3G
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Some good news: Billionaires do NOT have the best survivability chances! WHITEPAPER: How Humans Might Survive in a Post-Collapse World youtu.be/MFN_uhcBZ1k?...
My new video analysis: How We Could Survive in a Post-Collapse World youtu.be/MFN_uhcBZ1k?... My name is Beckwith. Paul Beckwith. #climate #ClimateCrisis #ClimateEmergency #NewZealand #Ireland #Iceland #UK #Tasmania #Australia #Canada #USA #preppers #Survivor
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RT @TheWildWorldYT: Newest video on sleeper sharks out now: https://t.co/6Kudx7aN3G
RT @TheWildWorldYT: Newest video on sleeper sharks out now: https://t.co/6Kudx7aN3G
Newest video on sleeper sharks out now: https://t.co/6Kudx7aN3G