Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback | Paper Citation Record

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This paper cites https://x.com/PKoppenburg/status/ 1774757167045788010, last accessed 2024/08/12.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https://x.com/PKoppenburg/status/ 1774757167045788010, last accessed 2024/08/12

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This paper cites https://x.com/JeremyNguyenPhD/status/ 1774021645709295840, last accessed 2024/08/12.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https://x.com/JeremyNguyenPhD/status/ 1774021645709295840, last accessed 2024/08/12

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This paper cites https://pshapira.net/2024/03/31/ delving-into-delve/, last accessed 2024/09/21.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https://pshapira.net/2024/03/31/ delving-into-delve/, last accessed 2024/09/21

Reference 3

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This paper cites ChatGPT "contamination": estimating the prevalence of LLMs in the scholarly literature.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback ChatGPT "contamination": estimating the prevalence of LLMs in the scholarly literature

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This paper cites Delving into LLM-assisted writing in biomedical publications through excess vocabulary.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Delving into LLM-assisted writing in biomedical publications through excess vocabulary

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This paper cites Mapping the Increasing Use of LLMs in Scientific Papers.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Mapping the Increasing Use of LLMs in Scientific Papers

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This paper cites Towards the relationship between AIGC in manuscript writing and author profiles: evidence from preprints in LLMs.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Towards the relationship between AIGC in manuscript writing and author profiles: evidence from preprints in LLMs

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This paper cites medRxiv (2024).

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback medRxiv (2024)

Reference 8

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This paper cites Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models

Reference 9

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This paper cites In: Proc.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback In: Proc

Reference 10

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This paper cites In: From Data to Evidence in English Language Research, pp.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback In: From Data to Evidence in English Language Research, pp

Reference 11

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This paper cites In: Corpus Pragmatic Studies on the History of Medical Discourse, pp.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback In: Corpus Pragmatic Studies on the History of Medical Discourse, pp

Reference 13

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This paper cites https://www.theguardian.com/technology/2024/apr/16/ techscape-ai-gadgest-humane-ai-pin-chatgpt, last accessed 2024/08/12.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https://www.theguardian.com/technology/2024/apr/16/ techscape-ai-gadgest-humane-ai-pin-chatgpt, last accessed 2024/08/12

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https: //hesamsheikh.substack.com/p/why-does-chatgpt-use-delve-so-much,lastaccessed 2025/01/14 14 T

Reference 15

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This paper cites Fine-Tuning Language Models from Human Preferences.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Fine-Tuning Language Models from Human Preferences

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback et al.: Direct preference optimization: Your language model is secretly a reward model

Reference 18

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Whose Emotions and Moral Sentiments Do Language Models Reflect?

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback 2021 ACM Conf

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Unresolved cited work

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Towards Measuring the Representation of Subjective Global Opinions in Language Models

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback et al.: Training language models to follow instructions with human feedback

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback On the Opportunities and Risks of Foundation Models

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback The Impact of Large Language Models in Academia: from Writing to Speaking

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Empirical evidence of Large Language Model's influence on human spoken communication

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Comparing LLM-generated and human-authored news text using formal syntactic theory

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback et al.: Hidden technical debt in machine learning systems

Reference 28

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback et al.: Explainability for large language models: A survey

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback From Lists to Emojis: How Format Bias Affects Model Alignment

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback The Llama 3 Herd of Models

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback HuggingFace's Transformers: State-of-the-art Natural Language Processing

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Wordoveruseandalignment in large language models: The influence of learning from human feedback

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https://www.python.org/, accessed 2024

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https://pubmed.ncbi.nlm.nih

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback GPT-4 Technical Report

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Version 1.57

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https://books.google.com/ngrams/, last ac- cessed 2025/01/02

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Pan 8(4), pp

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback On the Possibilities of AI-Generated Text Detection

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback et al.: MAGRET: Machine-generated Text Detection with Rewritten Texts

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Springer, CH (2016)

Reference 49

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Race Class 60(4), 3–26 (2019)

Reference 50

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This paper cites Time Magazine (18) (2023).

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Time Magazine (18) (2023)

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This paper cites et al.: Broadening the perspective for sustainable artificial intelligence: Sustainability criteria and indicators for Artificial Intelligence systems.

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback et al.: Broadening the perspective for sustainable artificial intelligence: Sustainability criteria and indicators for Artificial Intelligence systems

Reference 52

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Sage, Thousand Oaks (1997)

Reference 53

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback In: Proc

Reference 56

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This paper cites Language 92(3), 619–635 (2016).

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Language 92(3), 619–635 (2016)

Reference 58

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback In: Featherston, S., Hörnig, R., Steinberg, R., Umbreit, B., Wallis, J

Reference 59

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Reference 60

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback In: SIGIR 2010 Workshop on Crowdsourcing for Search Evaluation, pp

Reference 61

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback In: Proc

Reference 62

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Reference 63

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback ACM Comput

Reference 64

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback 3: Cognitive and Cultural Factors

Reference 65

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This paper cites et al.: The Role of AI in Peer Support for Young People: A Study of PreferencesforHuman-andAI-GeneratedResponses.In:Proc.CHIConf.onHuman Factors in Computing Systems, pp.

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Reference 66

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Reference 67

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Reference 68

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This paper cites Anthropic (2024).

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback Anthropic (2024)

Reference 69

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Reference 70

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https://www.accel.ai/ anthology/2023/5/22/jyzu7sbpzyxufu5l1ekidxj0g7jafh, last accessed 2023

Reference 71

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Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback https: //change-links.org/a-i-s-dirty-secret-its-powered-by-digital-sweatshops/, last ac- cessed 2023

Reference 72

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Reference 73

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