The Impact of Large Language Models in Academia: from Writing to Speaking
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Abstract (arXiv)
Large language models (LLMs) are increasingly impacting human society, particularly in textual information. Based on more than 30,000 papers and 1,000 presentations from machine learning conferences, we examined and compared the words used in writing and speaking, representing the first large-scale study of how LLMs influence the two main modes of verbal communication and expression within the same group of people. Our empirical results show that LLM-style words such as "significant" have been used more frequently in abstracts and oral presentations. The impact on speaking is beginning to emerge and is likely to grow in the future, calling attention to the implicit influence and ripple effect of LLMs on human society.
Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 34 of its 50 references that are in the map. First posted on arXiv 20 Sep 2024.
Builds on
34 of 50 references.
References · 34
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
- 2023Large Language Modelscited by 774
- 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvaturecited by 705
- 2019Release Strategies and the Social Impacts of Language Modelscited by 505
- 2019GLTR: Statistical Detection and Visualization of Generated Textcited by 490
- 2023How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detectioncited by 472
- 2023Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defensecited by 401
- 2024Large Language Models for Mathematical Reasoning: Progresses and Challengescited by 283
- 2023Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvaturecited by 278
- 2022CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilitiescited by 245
- 2023RADAR: Robust AI-Text Detection via Adversarial Learningcited by 187
- 2023What can Large Language Models do in chemistry? A comprehensive benchmark on eight taskscited by 179
22 more
- 2024Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviewscited by 160
- 2023DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Textcited by 127
- 2024Mapping the Increasing Use of LLMs in Scientific Paperscited by 112
- 2019Real or Fake? Learning to Discriminate Machine from Human Generated Textcited by 98
- 2023The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Textcited by 97
- 2023MGTBench: Benchmarking Machine-Generated Text Detectioncited by 90
- 2023Ghostbuster: Detecting Text Ghostwritten by Large Language Modelscited by 90
- 2023OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examplescited by 80
- 2023Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loopcited by 75
- 2024Delving into LLM-assisted writing in biomedical publications through excess vocabularycited by 75
- 2024The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Ratescited by 66
- 2024LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?cited by 47
- 2024AI and the Problem of Knowledge Collapsecited by 34
- 2024Empirical evidence of Large Language Model's influence on human spoken communicationcited by 27
- 2024Is ChatGPT Transforming Academics' Writing Style?cited by 26
- 2024ChatGPT "contamination": estimating the prevalence of LLMs in the scholarly literaturecited by 25
- 2024Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicatedcited by 15
- 2024Self-Cognition in Large Language Models: An Exploratory Studycited by 14
- 2024Are Large Language Models Chameleons? An Attempt to Simulate Social Surveyscited by 8
- 2024Delving into the Utilisation of ChatGPT in Scientific Publications in Astronomycited by 7
- 2024Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discoverycited by 6
- 2024Where there's a will there's a way: ChatGPT is used more for science in countries where it is prohibitedcited by 6
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Citing papers per year: 2024: 5; 2025: 9; 2026: 4.
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- 2025Human-LLM Coevolution: Evidence from Academic Writingcited by 15
- 2024On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writingcited by 10
- 2024Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Modelscited by 8
- 2025Large Language Models Penetration in Scholarly Writing and Peer Reviewcited by 6
- 2025Wikipedia in the Era of LLMs: Evolution and Riskscited by 4
- 2025Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken Englishcited by 4
- 2024Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoringcited by 3
- 2024NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?cited by 3
- 2025Zhyper: Factorized Hypernetworks for Conditioned LLM Fine-Tuningcited by 3
- 2025On the Detectability of LLM-Generated Text: What Exactly Is LLM-Generated Text?cited by 3
- 2026Markovian Generation Chains in Large Language Modelscited by 3
- 2025Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedbackcited by 2
6 more
- 2024Perception Gaps in Risk, Benefit, and Value Between Experts and Public Challenge Socially Accepted AIcited by 0
- 2025code_transformed: The Influence of Large Language Models on Codecited by 0
- 2025AI in the Writing Process: How Purposeful AI Support Fosters Student Writingcited by 0
- 2026AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientistscited by 0
- 2026Divination by Prompt: LLM-Mediated Xuanxue on Chinese Social Mediacited by 0
- 2026Linguistic Monoculture in LLM-Assisted Language Usecited by 0
- 2026Linguistic Monoculture in LLM-Assisted Language Use29 Jul 2026
- 2026AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists20 May 2026
- 2026Divination by Prompt: LLM-Mediated Xuanxue on Chinese Social Media8 May 2026
- 2026Markovian Generation Chains in Large Language Models11 Mar 2026
- 2025On the Detectability of LLM-Generated Text: What Exactly Is LLM-Generated Text?23 Oct 2025
- 2025Zhyper: Factorized Hypernetworks for Conditioned LLM Fine-Tuning22 Oct 2025
- 2025Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback3 Aug 2025
- 2025Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English1 Aug 2025
- 2025AI in the Writing Process: How Purposeful AI Support Fosters Student Writing25 Jun 2025
- 2025code_transformed: The Influence of Large Language Models on Code13 Jun 2025
- 2025Wikipedia in the Era of LLMs: Evolution and Risks4 Mar 2025
- 2025Large Language Models Penetration in Scholarly Writing and Peer Review16 Feb 2025
6 more
- 2025Human-LLM Coevolution: Evidence from Academic Writing13 Feb 2025
- 2024On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing23 Dec 2024
- 2024Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models16 Dec 2024
- 2024NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?2 Dec 2024
- 2024Perception Gaps in Risk, Benefit, and Value Between Experts and Public Challenge Socially Accepted AI2 Dec 2024
- 2024Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoring29 Oct 2024
- 2025Human-LLM Coevolution: Evidence from Academic Writingcited by 15
- 2024On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writingcited by 10
- 2025Large Language Models Penetration in Scholarly Writing and Peer Reviewcited by 6
- 2025Wikipedia in the Era of LLMs: Evolution and Riskscited by 4
- 2025Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken Englishcited by 4
- 2024Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoringcited by 3
- 2024NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?cited by 3
- 2025Zhyper: Factorized Hypernetworks for Conditioned LLM Fine-Tuningcited by 3
- 2025On the Detectability of LLM-Generated Text: What Exactly Is LLM-Generated Text?cited by 3
- 2026Markovian Generation Chains in Large Language Modelscited by 3
- 2024Perception Gaps in Risk, Benefit, and Value Between Experts and Public Challenge Socially Accepted AIcited by 0
- 2025code_transformed: The Influence of Large Language Models on Codecited by 0
12 most cited of 16 All 16 (JSON)
- 2026Linguistic Monoculture in LLM-Assisted Language Use29 Jul 2026
- 2026AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists20 May 2026
- 2026Divination by Prompt: LLM-Mediated Xuanxue on Chinese Social Media8 May 2026
- 2026Markovian Generation Chains in Large Language Models11 Mar 2026
- 2025On the Detectability of LLM-Generated Text: What Exactly Is LLM-Generated Text?23 Oct 2025
- 2025Zhyper: Factorized Hypernetworks for Conditioned LLM Fine-Tuning22 Oct 2025
- 2025Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English1 Aug 2025
- 2025AI in the Writing Process: How Purposeful AI Support Fosters Student Writing25 Jun 2025
- 2025code_transformed: The Influence of Large Language Models on Code13 Jun 2025
- 2025Wikipedia in the Era of LLMs: Evolution and Risks4 Mar 2025
- 2025Large Language Models Penetration in Scholarly Writing and Peer Review16 Feb 2025
- 2025Human-LLM Coevolution: Evidence from Academic Writing13 Feb 2025
12 newest of 16 All 16 (JSON)