Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems | Paper Citation Record

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This paper cites Simons Institute Talk on Watermarking of Large Language Models, 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Simons Institute Talk on Watermarking of Large Language Models, 2023

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This paper cites An online platform for interactive feedback in biomedical machine learning.Nature Machine Intelligence, 2(2):86–88, 2020.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems An online platform for interactive feedback in biomedical machine learning.Nature Machine Intelligence, 2(2):86–88, 2020

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This paper cites A billion-dollar donation: estimating the cost of researchers’ time spent on peer review.Research Integrity and Peer Review, 6(1):1–8, 2021.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems A billion-dollar donation: estimating the cost of researchers’ time spent on peer review.Research Integrity and Peer Review, 6(1):1–8, 2021

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Reviewing peer review, 2008

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Claude 2

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This paper cites Probing Pre-Trained Language Models for Cross-Cultural Differences in Values.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Probing Pre-Trained Language Models for Cross-Cultural Differences in Values

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This paper cites ACL-IJCNLP 2021 Instructions for Reviewers.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems ACL-IJCNLP 2021 Instructions for Reviewers

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This paper cites ACL’23 Peer Review Policies.https://2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems ACL’23 Peer Review Policies.https://2023

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This paper cites Atallah, Victor Raskin, Michael Crogan, Christian F.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Atallah, Victor Raskin, Michael Crogan, Christian F

Reference 9

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Observation 118aafa7-cf38-460c-82d5-1792e9e26c10 · outbound

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Triezenberg

Reference 10

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Observation fefe38e9-8e1e-4ad4-b7cd-042aaf86f1ea · outbound

This paper cites Comparing 176 BIBLIOGRAPHY 177 physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum.JAMA internal medicine, 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Comparing 176 BIBLIOGRAPHY 177 physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum.JAMA internal medicine, 2023

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This paper cites Artificial intelligence, firm growth, and product innovation.Journal of Financial Economics, 151:103745, January 2024.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Artificial intelligence, firm growth, and product innovation.Journal of Financial Economics, 151:103745, January 2024

Reference 12

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Observation d02d7de8-0a81-42b5-a9a3-026455005674 · outbound

This paper cites Identifying Real or Fake Articles: Towards betterLanguageModeling.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Identifying Real or Fake Articles: Towards betterLanguageModeling

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Observation f357d8b0-1a0f-40ad-9ec3-40bcecc8a773 · outbound

This paper cites Real or Fake? Learning to Discriminate Machine from Human Generated Text.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Real or Fake? Learning to Discriminate Machine from Human Generated Text

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This paper cites Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature

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This paper cites Discourses of artificial intelligence in higher education: A critical literature review.Higher Education, 86(2):369–385, 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Discourses of artificial intelligence in higher education: A critical literature review.Higher Education, 86(2):369–385, 2023

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This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Margaret Smitchell.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Bender, Timnit Gebru, Angelina McMillan-Major, and Margaret Smitchell

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This paper cites Computer-Generated Text Detection Using Machine Learning: A System- atic Review.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Computer-Generated Text Detection Using Machine Learning: A System- atic Review

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This paper cites Selection bias in web surveys.International statistical review, 78(2):161–188, 2010.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Selection bias in web surveys.International statistical review, 78(2):161–188, 2010

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Unresolved cited work

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This paper cites ConDA: Contrastive Domain Adaptation for AI-generated Text Detection.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems ConDA: Contrastive Domain Adaptation for AI-generated Text Detection

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This paper cites Drivers and Barriers of AI Adoption and Use in Scientific Research.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Drivers and Barriers of AI Adoption and Use in Scientific Research

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This paper cites Should we use characteristics of conversation to measure grammatical complexity in L2 writing development?Tesol Quarterly, 45(1):5–35, 2011.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Should we use characteristics of conversation to measure grammatical complexity in L2 writing development?Tesol Quarterly, 45(1):5–35, 2011

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This paper cites The values encoded in machine learning research.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems The values encoded in machine learning research

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This paper cites The publishing delay in scholarly peer-reviewed journals.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems The publishing delay in scholarly peer-reviewed journals

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This paper cites Are ideas getting harder to find?American Economic Review, 110(4):1104–1144, 2020.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Are ideas getting harder to find?American Economic Review, 110(4):1104–1144, 2020

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This paper cites Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? Advances in Neural Information Processing Systems, 35:3663–3678, 2022.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? Advances in Neural Information Processing Systems, 35:3663–3678, 2022

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Observation 6b53664f-6fb6-4538-b877-a8f104b01265 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems On the Opportunities and Risks of Foundation Models

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This paper cites Cultural reproduction and social reproduction.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Cultural reproduction and social reproduction

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This paper cites A large annotated corpus for learning natural language inference.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems A large annotated corpus for learning natural language inference

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This paper cites The rise of ai-generated content in wikipedia, 2024.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems The rise of ai-generated content in wikipedia, 2024

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This paper cites Language models are few-shot learners.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Language models are few-shot learners

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Generative ai at work

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This paper cites Nearly 50 news websites are ‘AI-generated’, a study says.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Nearly 50 news websites are ‘AI-generated’, a study says

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study, 2023

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems On the Possibilities of AI-Generated Text Detection

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This paper cites GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

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This paper cites Natu- ral Language Watermarking Using Semantic Substitution for Chinese Text.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Natu- ral Language Watermarking Using Semantic Substitution for Chinese Text

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems What data can do: A typology of mechanisms

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Slowed canonical progress in large fields of science

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This paper cites All That’s ‘Human’Is Not Gold: Evaluating Human Evaluation of Generated Text.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems All That’s ‘Human’Is Not Gold: Evaluating Human Evaluation of Generated Text

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Observation a984df43-509d-4d90-acf3-83db1642c342 · outbound

This paper cites How ChatGPT and other AI tools could disrupt scientific publishing.Nature, October 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems How ChatGPT and other AI tools could disrupt scientific publishing.Nature, October 2023

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Scientific sleuths spot dishonest ChatGPT use in papers.Nature, September 2023

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This paper cites Does writing development equal writing quality? A computational investigation of syntactic complexity in L2 learners.Journal of Second Language Writing, 26:66–79, 2014.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Does writing development equal writing quality? A computational investigation of syntactic complexity in L2 learners.Journal of Second Language Writing, 26:66–79, 2014

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This paper cites Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Lexical richness in the spontaneous speech of bilinguals.Applied linguistics, 24(2):197–222, 2003

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Unresolved cited work

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Evaluating web lectures: A case study from hci

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Indexing by latent semantic analysis.Journal of the American society for information science, 41(6):391–407, 1990

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems AI-generated nonsense is leaking into scientific journals .Popular Science, March 2024

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Navigating the jagged technological frontier: Field experimental evidence of the effects of AI on knowledge worker productivity and quality, 2023

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems so what if chatgpt wrote it?

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This paper cites Yes-yes-yes: Proactive data collection for ACL rolling review and beyond.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Yes-yes-yes: Proactive data collection for ACL rolling review and beyond

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This paper cites NLPeer: A unified resource for the computa- tional study of peer review.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems NLPeer: A unified resource for the computa- tional study of peer review

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Sciencebeam—using computer vision to extract pdf data

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This paper cites Tools such as ChatGPT threaten transparent science; here are our ground rules for their use.Nature, 613(7945):612–612, 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Tools such as ChatGPT threaten transparent science; here are our ground rules for their use.Nature, 613(7945):612–612, 2023

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Observation 16440dd6-921f-4395-aac0-ce10928fe66d · outbound

This paper cites New methods in automatic extracting.Journal of the ACM (JACM), 16(2):264–285, 1969.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems New methods in automatic extracting.Journal of the ACM (JACM), 16(2):264–285, 1969

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Observation 12e97d92-057a-4b75-b60d-3115a6f03e18 · outbound

This paper cites What’s In My Big Data? InThe Twelfth International Conference on Learning Representations, 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems What’s In My Big Data? InThe Twelfth International Conference on Learning Representations, 2023

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Observation b124ee4b-aa1e-4792-b783-d48bdd25a88e · outbound

This paper cites Abstracts written by ChatGPT fool scientists.Nature, Jan 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Abstracts written by ChatGPT fool scientists.Nature, Jan 2023

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Observation 84d57928-1c4f-4c2c-a889-e929a1b0df53 · outbound

This paper cites Art and the science of generative ai.Science, 380(6650):1110–1111, 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Art and the science of generative ai.Science, 380(6650):1110–1111, 2023

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Observation 22cef0e5-5d87-4b22-bd98-2b9b6c1aad8d · outbound

This paper cites Lexrank: Graph-based lexical centrality as salience in text summarization.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Lexrank: Graph-based lexical centrality as salience in text summarization

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Observation a6ad7921-bf23-48ed-8b66-b482de2c37d0 · outbound

This paper cites TweepFake: About detecting deepfake tweets.Plos one, 16(5):e0251415, 2021.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems TweepFake: About detecting deepfake tweets.Plos one, 16(5):e0251415, 2021

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Observation cc8955b9-91a9-443c-92fb-d512eaaaa3a5 · outbound

This paper cites Three Bricks to Consolidate Watermarks for Large Language Models.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Three Bricks to Consolidate Watermarks for Large Language Models

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Observation 160a6c12-6373-47ad-af29-70d29579e7bb · outbound

This paper cites Microeconomics of technology adoption.Annu.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Microeconomics of technology adoption.Annu

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Observation 462742bd-c994-488b-9e83-e26a1cbfbf53 · outbound

This paper cites Tradition and innovation in scientists’ research strategies.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Tradition and innovation in scientists’ research strategies

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Observation 0df1c40c-5217-466d-be67-ba2f05e3be2e · outbound

This paper cites Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy

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Observation e0dbdc28-8cc8-4add-88a8-6ef34a121022 · outbound

This paper cites an unresolved cited work.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Unresolved cited work

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Observation 79b0e266-af0c-4dbb-bcee-e2d6dfe744aa · outbound

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems The Pile: An 800GB Dataset of Diverse Text for Language Modeling

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Observation b68de9b9-6f37-4b3e-bc23-978c7e5ec8f6 · outbound

This paper cites GLTR: Statistical Detection and Visualization of Generated Text.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems GLTR: Statistical Detection and Visualization of Generated Text

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Observation db2a629f-badb-4e92-a324-f75fd03bb809 · outbound

This paper cites Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

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Observation 04150815-d0e5-4911-ab94-2d30c0dab996 · outbound

This paper cites 'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems 'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion

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Observation 52515911-5ab8-4720-a2a4-39bea8c65e2e · outbound

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Observation 29f3a75d-6dd6-4956-b5e4-9fc7ff8dbabe · outbound

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Watermarking Pre-trained Language Models with Backdooring

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Observation 467906f1-9e2e-421f-a7cc-95c8dc0702a4 · outbound

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems How to spot AI-generated text.MIT TechnologyReview, Dec 2022

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Observation 41c70143-9af8-4424-8290-208b1184f9e8 · outbound

This paper cites Dialect prejudice predicts AI decisions about people's character, employability, and criminality.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Dialect prejudice predicts AI decisions about people's character, employability, and criminality

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Observation 292202d5-38c6-44a5-b19c-ffd8ebb5e377 · outbound

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Biasinperceptionofartproducedbyartificialintelligence

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Observation 251a1ae3-5c31-4b65-8a91-e603b0349158 · outbound

This paper cites The changing forms and expectations of peer review.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems The changing forms and expectations of peer review

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Observation 48d97128-3b58-44fa-a210-64fbe26b3855 · outbound

This paper cites Adopting ai: how familiarity breeds both trust and contempt.AI & society, 39(4):1721–1735, 2024.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Adopting ai: how familiarity breeds both trust and contempt.AI & society, 39(4):1721–1735, 2024

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Observation 8618f120-9f45-4f8f-bcc5-07f04e850fe7 · outbound

This paper cites SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation

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Observation 68a646b0-5943-4469-a3e9-2399b1bf5e8b · outbound

This paper cites Chatgpt sets record for fastest-growing user base - analyst note.Reuters, February 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Chatgpt sets record for fastest-growing user base - analyst note.Reuters, February 2023

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Observation a2d1dfd0-8130-464d-a357-baacaf4eeac1 · outbound

This paper cites RADAR: Robust AI-Text Detection via Adversarial Learning.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems RADAR: Robust AI-Text Detection via Adversarial Learning

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Observation 313ba8ff-41e4-4bf0-a935-a339e24f0b61 · outbound

This paper cites Unbiased Watermark for Large Language Models.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Unbiased Watermark for Large Language Models

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Observation c64c9bc7-7813-4a6d-81e1-fa5aec8eb9d6 · outbound

This paper cites The adoption of chatgpt.IZA Discussion Paper No.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems The adoption of chatgpt.IZA Discussion Paper No

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Source-reported events for the cited work

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Observation 7225f400-28db-4301-bf79-8c0dd828ad82 · outbound

This paper cites Clarification on large language model policy LLM.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Clarification on large language model policy LLM

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Observation 6a17ab96-3dda-4376-a1fa-f0068f0a9967 · outbound

This paper cites ICML 2023 Reviewer Tutorial.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems ICML 2023 Reviewer Tutorial

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Observation ba0af3ad-8cd5-42d5-a2d3-5f0fa9c9b00d · outbound

This paper cites Automatic Detection of Generated Text is Easiest when Humans are Fooled.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Automatic Detection of Generated Text is Easiest when Humans are Fooled

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Observation 62d0331f-ca4a-49b8-86e1-c2377514a26c · outbound

This paper cites Ai-mediated communication: How the perception that profile text was written by ai affects trustworthiness.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Ai-mediated communication: How the perception that profile text was written by ai affects trustworthiness

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Observation dac3f81d-f277-48b3-a22e-edd29a72da18 · outbound

This paper cites Short texts, best-fitting curves and new measures of lexical diversity.Language Testing, 19(1):57–84, 2002.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Short texts, best-fitting curves and new measures of lexical diversity.Language Testing, 19(1):57–84, 2002

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Observation 89a0642a-10b6-4c89-bd59-9989993e0020 · outbound

This paper cites Automatic Detection of Machine Generated Text: A Critical Survey.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Automatic Detection of Machine Generated Text: A Critical Survey

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Observation 5187e337-b05d-412a-bd6c-66cd91ef6700 · outbound

This paper cites death of the renaissance man.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems death of the renaissance man

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Observation aa9c8d00-f6ba-4c79-b972-606e55c04f56 · outbound

This paper cites Martin.Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition with Language Models.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Martin.Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition with Language Models

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Observation 0cab546d-2704-4ab8-a088-e5de2bcf63f8 · outbound

This paper cites Generative AI and Perceptual Harms: Who's Suspected of using LLMs?.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Generative AI and Perceptual Harms: Who's Suspected of using LLMs?

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Observation 709aad24-ae50-4eb4-b026-50233025f15d · outbound

This paper cites The hewlett foundation: Automated essay scoring.https://www.kaggle.com/c/ asap-aes, 2012.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems The hewlett foundation: Automated essay scoring.https://www.kaggle.com/c/ asap-aes, 2012

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Observation 64006dfa-c49b-475b-a31b-308d94c83a7a · outbound

This paper cites The diffusion of new technologies*.The Quarterly Journal of Economics, page qjaf002, 01 2025.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems The diffusion of new technologies*.The Quarterly Journal of Economics, page qjaf002, 01 2025

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Observation 941f7175-75a3-46c3-acff-f2d952e200bb · outbound

This paper cites The diffusion of new technologies.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems The diffusion of new technologies

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Observation 5e804ff9-cff5-4c4c-b46f-d18c8a888160 · outbound

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems Chatgpt for good? on opportunities and challenges of large language models for education.Learning and Individual Differences, 103:102274, April 2023

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Observation e89872d0-5d3d-4b48-8676-bc837b038ebe · outbound

This paper cites ChatGPT creator pulls AI detection tool due to ‘low rate of accuracy’.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems ChatGPT creator pulls AI detection tool due to ‘low rate of accuracy’

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Observation 288b2f8e-105f-4aff-899e-0c30561c5c13 · outbound

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Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems A watermark for large language models.International Conference on Machine Learning, 2023

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Observation 3c0c871e-4395-4661-8061-e32c221a0019 · outbound

This paper cites New AI classifier for indicating AI-written text, 2023.

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems New AI classifier for indicating AI-written text, 2023

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