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Chicken Little's News and Research

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Manage episode 425968585 series 3361952
Content provided by Dan Bowen and Ray Fleming, Dan Bowen, and Ray Fleming. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dan Bowen and Ray Fleming, Dan Bowen, and Ray Fleming or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Content warning! This episode talks about an academic research paper titled "ChatGPT is bulls**t", and we've not edited the word out - in fact, we've gone to town with it, talking about the different types of it (in the strictest academic sense). So you may not want to play this in the car on your school run!

The news item discussed is:

Student crafts elaborate AI scheme to pass university exam, gets arrested

https://cybernews.com/news/turkish-student-found-using-ai-arrested/

This week's papers discussed are:

Developing evaluative judgement for a time of generative artificial intelligence

https://www.tandfonline.com/doi/full/10.1080/02602938.2024.2335321

Prompting Large Language Models for Zero-shot Essay Scoring via Multi-trait Specialization

https://arxiv.org/abs/2404.04941

Working Alongside, Not Against, AI Writing Tools in the Composition Classroom: a Dialectical Retrospective

https://uen.pressbooks.pub/teachingandgenerativeai/chapter/working-alongside-not-against-ai-writing-tools-in-the-composition-classroom-a-dialectical-retrospective/

GPT versus Resident Physicians — A Benchmark Based on Official Board Scores

https://ai.nejm.org/doi/pdf/10.1056/AIdbp2300192

Evaluating General Vision-Language Models for Clinical Medicine

https://www.medrxiv.org/content/10.1101/2024.04.12.24305744v1

Re-evaluating GPT-4’s bar exam performance

https://link.springer.com/article/10.1007/s10506-024-09396-9

Automated Social Science: Language Models as Scientist and Subjects

https://arxiv.org/abs/2404.11794

Large language models cannot replace human participants because they cannot portray identity groups

https://arxiv.org/abs/2402.01908

The impact of large language models on university students’ literacy development

https://www.tandfonline.com/doi/epdf/10.1080/07294360.2024.2332259?needAccess=true

Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays

https://www.sciencedirect.com/science/article/pii/S2666920X24000109

Feedback sources in essay writing: peer-generated or AI-generated feedback?

https://link.springer.com/article/10.1186/s41239-024-00455-4

ChatGPT is bullshit

https://link.springer.com/epdf/10.1007/s10676-024-09775-5?sharing_token=0CIhP_zo5-plierRq8kkDPe4RwlQNchNByi7wbcMAY77xTOWyddkW01qGFs1m5zuuoZGBctVlsJF8SbYqcxWi-XzgEYEPiw7xwWi4bMYXJ_1JARDrER9JGdWZOW-UGSkrk_tXPjPh-XWvFNoiFzNlnDUUUEBAztiX9PtP2p6jfI%3D

  continue reading

97 episodes

Artwork
iconShare
 
Manage episode 425968585 series 3361952
Content provided by Dan Bowen and Ray Fleming, Dan Bowen, and Ray Fleming. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dan Bowen and Ray Fleming, Dan Bowen, and Ray Fleming or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Content warning! This episode talks about an academic research paper titled "ChatGPT is bulls**t", and we've not edited the word out - in fact, we've gone to town with it, talking about the different types of it (in the strictest academic sense). So you may not want to play this in the car on your school run!

The news item discussed is:

Student crafts elaborate AI scheme to pass university exam, gets arrested

https://cybernews.com/news/turkish-student-found-using-ai-arrested/

This week's papers discussed are:

Developing evaluative judgement for a time of generative artificial intelligence

https://www.tandfonline.com/doi/full/10.1080/02602938.2024.2335321

Prompting Large Language Models for Zero-shot Essay Scoring via Multi-trait Specialization

https://arxiv.org/abs/2404.04941

Working Alongside, Not Against, AI Writing Tools in the Composition Classroom: a Dialectical Retrospective

https://uen.pressbooks.pub/teachingandgenerativeai/chapter/working-alongside-not-against-ai-writing-tools-in-the-composition-classroom-a-dialectical-retrospective/

GPT versus Resident Physicians — A Benchmark Based on Official Board Scores

https://ai.nejm.org/doi/pdf/10.1056/AIdbp2300192

Evaluating General Vision-Language Models for Clinical Medicine

https://www.medrxiv.org/content/10.1101/2024.04.12.24305744v1

Re-evaluating GPT-4’s bar exam performance

https://link.springer.com/article/10.1007/s10506-024-09396-9

Automated Social Science: Language Models as Scientist and Subjects

https://arxiv.org/abs/2404.11794

Large language models cannot replace human participants because they cannot portray identity groups

https://arxiv.org/abs/2402.01908

The impact of large language models on university students’ literacy development

https://www.tandfonline.com/doi/epdf/10.1080/07294360.2024.2332259?needAccess=true

Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays

https://www.sciencedirect.com/science/article/pii/S2666920X24000109

Feedback sources in essay writing: peer-generated or AI-generated feedback?

https://link.springer.com/article/10.1186/s41239-024-00455-4

ChatGPT is bullshit

https://link.springer.com/epdf/10.1007/s10676-024-09775-5?sharing_token=0CIhP_zo5-plierRq8kkDPe4RwlQNchNByi7wbcMAY77xTOWyddkW01qGFs1m5zuuoZGBctVlsJF8SbYqcxWi-XzgEYEPiw7xwWi4bMYXJ_1JARDrER9JGdWZOW-UGSkrk_tXPjPh-XWvFNoiFzNlnDUUUEBAztiX9PtP2p6jfI%3D

  continue reading

97 episodes

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